Micro-Star International Co., Ltd. MS-7E06
Geekbench ML Score
21899
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 05:04 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E06 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-P DDR4 (MS-7E06) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600KF |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 SUPER |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
11358
2.13 KIPS |
|
|
Image Classification (F16)
|
100% |
11491
2.15 KIPS |
|
|
Image Classification (I8)
|
100% |
9540
1.79 KIPS |
|
|
Image Segmentation (F32)
|
100% |
16013
267.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
15471
258.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
14263
238.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
154201
186.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
154126
186.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
139518
169.0 IPS |
|
|
Object Detection (F32)
|
100% |
3846
287.2 IPS |
|
|
Object Detection (F16)
|
100% |
6737
503.0 IPS |
|
|
Object Detection (I8)
|
63% |
6351
474.1 IPS |
|
|
Face Detection (F32)
|
100% |
30798
366.2 IPS |
|
|
Face Detection (F16)
|
100% |
31960
380.0 IPS |
|
|
Face Detection (I8)
|
89% |
27279
324.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
63448
492.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
57842
448.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
48297
374.5 IPS |
|
|
Style Transfer (F32)
|
100% |
270549
355.9 IPS |
|
|
Style Transfer (F16)
|
100% |
265726
349.5 IPS |
|
|
Style Transfer (I8)
|
98% |
239821
315.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
44517
1.59 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
44832
1.60 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
32338
1.15 KIPS |
|
|
Text Classification (F32)
|
100% |
3399
4.88 KIPS |
|
|
Text Classification (F16)
|
100% |
3363
4.83 KIPS |
|
|
Text Classification (I8)
|
98% |
2041
2.93 KIPS |
|
|
Machine Translation (F32)
|
100% |
4513
83.1 IPS |
|
|
Machine Translation (F16)
|
100% |
4551
83.7 IPS |
|
|
Machine Translation (I8)
|
70% |
2682
49.3 IPS |
