Micro-Star International Co., Ltd. MS-7E06
Geekbench ML Score
22350
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 05:10 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% |
10365
1.94 KIPS |
|
|
Image Classification (F16)
|
100% |
11736
2.20 KIPS |
|
|
Image Classification (I8)
|
100% |
9913
1.85 KIPS |
|
|
Image Segmentation (F32)
|
100% |
16422
274.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
15615
260.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
14174
236.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
154146
186.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
149473
181.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
138940
168.3 IPS |
|
|
Object Detection (F32)
|
100% |
6820
509.2 IPS |
|
|
Object Detection (F16)
|
100% |
6785
506.6 IPS |
|
|
Object Detection (I8)
|
63% |
6232
465.2 IPS |
|
|
Face Detection (F32)
|
100% |
30660
364.6 IPS |
|
|
Face Detection (F16)
|
100% |
31348
372.7 IPS |
|
|
Face Detection (I8)
|
89% |
25745
306.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
65411
507.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
58037
450.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
47389
367.5 IPS |
|
|
Style Transfer (F32)
|
100% |
267456
351.8 IPS |
|
|
Style Transfer (F16)
|
100% |
267227
351.5 IPS |
|
|
Style Transfer (I8)
|
98% |
242053
318.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
45394
1.62 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
45749
1.63 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
33194
1.19 KIPS |
|
|
Text Classification (F32)
|
100% |
3442
4.95 KIPS |
|
|
Text Classification (F16)
|
100% |
3505
5.04 KIPS |
|
|
Text Classification (I8)
|
98% |
2072
2.98 KIPS |
|
|
Machine Translation (F32)
|
100% |
4575
84.2 IPS |
|
|
Machine Translation (F16)
|
100% |
4569
84.1 IPS |
|
|
Machine Translation (I8)
|
70% |
2681
49.3 IPS |
