Micro-Star International Co., Ltd. MS-7B48
Geekbench ML Score
20466
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 08 2024 12:51 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B48 |
| Motherboard | Micro-Star International Co., Ltd. Z370-A PRO (MS-7B48) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 256 KB x 6 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
9190
1.72 KIPS |
|
|
Image Classification (F16)
|
100% |
9178
1.72 KIPS |
|
|
Image Classification (I8)
|
100% |
8377
1.57 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13707
228.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
13683
228.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
12828
214.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
171604
207.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
172417
208.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
154103
186.6 IPS |
|
|
Object Detection (F32)
|
100% |
4471
333.8 IPS |
|
|
Object Detection (F16)
|
100% |
4541
339.0 IPS |
|
|
Object Detection (I8)
|
56% |
4340
324.0 IPS |
|
|
Face Detection (F32)
|
100% |
29682
352.9 IPS |
|
|
Face Detection (F16)
|
100% |
29727
353.5 IPS |
|
|
Face Detection (I8)
|
89% |
25943
308.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
67577
524.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
61102
473.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
51069
396.0 IPS |
|
|
Style Transfer (F32)
|
100% |
290347
381.9 IPS |
|
|
Style Transfer (F16)
|
100% |
287359
378.0 IPS |
|
|
Style Transfer (I8)
|
98% |
259150
340.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
41257
1.47 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
41829
1.49 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
31495
1.12 KIPS |
|
|
Text Classification (F32)
|
100% |
2907
4.18 KIPS |
|
|
Text Classification (F16)
|
100% |
2902
4.17 KIPS |
|
|
Text Classification (I8)
|
98% |
1871
2.69 KIPS |
|
|
Machine Translation (F32)
|
100% |
3803
70.0 IPS |
|
|
Machine Translation (F16)
|
100% |
3836
70.6 IPS |
|
|
Machine Translation (I8)
|
70% |
2405
44.3 IPS |
