Micro-Star International Co., Ltd. MS-7E06
Geekbench ML Score
22160
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 05:06 PM |
| Views | 2 |
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% |
10550
1.97 KIPS |
|
|
Image Classification (F16)
|
100% |
10418
1.95 KIPS |
|
|
Image Classification (I8)
|
100% |
9399
1.76 KIPS |
|
|
Image Segmentation (F32)
|
100% |
16119
269.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
15720
262.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
14073
235.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
154005
186.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
153336
185.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
137940
167.0 IPS |
|
|
Object Detection (F32)
|
100% |
6882
513.8 IPS |
|
|
Object Detection (F16)
|
100% |
6848
511.3 IPS |
|
|
Object Detection (I8)
|
63% |
6294
469.9 IPS |
|
|
Face Detection (F32)
|
100% |
30959
368.1 IPS |
|
|
Face Detection (F16)
|
100% |
30406
361.5 IPS |
|
|
Face Detection (I8)
|
89% |
25044
297.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
63958
496.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
57919
449.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
48098
373.0 IPS |
|
|
Style Transfer (F32)
|
100% |
265950
349.8 IPS |
|
|
Style Transfer (F16)
|
100% |
272645
358.6 IPS |
|
|
Style Transfer (I8)
|
98% |
237905
312.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
41254
1.47 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
46129
1.65 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
32746
1.17 KIPS |
|
|
Text Classification (F32)
|
100% |
3524
5.06 KIPS |
|
|
Text Classification (F16)
|
100% |
3577
5.14 KIPS |
|
|
Text Classification (I8)
|
98% |
2037
2.93 KIPS |
|
|
Machine Translation (F32)
|
100% |
4577
84.2 IPS |
|
|
Machine Translation (F16)
|
100% |
4589
84.5 IPS |
|
|
Machine Translation (I8)
|
70% |
2688
49.5 IPS |
