Micro-Star International Co., Ltd. MS-7E28
Geekbench AI Score
26240
Single Precision Score
39913
Half Precision Score
19758
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Odai |
| Upload Date | September 14 2024 12:21 AM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E28 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650M-B (MS-7E28) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10340
1.92 KIPS |
|
|
Image Classification (HP)
|
99% |
15875
2.96 KIPS |
|
|
Image Classification (Q)
|
100% |
8900
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18528
300.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23762
385.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
16982
276.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
150338
175.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
353326
412.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
133399
156.2 IPS |
|
|
Object Detection (SP)
|
100% |
12936
1.03 KIPS |
|
|
Object Detection (HP)
|
100% |
20127
1.60 KIPS |
|
|
Object Detection (Q)
|
88% |
10299
825.9 IPS |
|
|
Face Detection (SP)
|
100% |
30942
367.7 IPS |
|
|
Face Detection (HP)
|
100% |
45607
541.9 IPS |
|
|
Face Detection (Q)
|
97% |
25723
306.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
59368
457.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
106661
821.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
45649
367.2 IPS |
|
|
Style Transfer (SP)
|
100% |
262504
337.5 IPS |
|
|
Style Transfer (HP)
|
100% |
590167
758.7 IPS |
|
|
Style Transfer (Q)
|
98% |
237093
305.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47525
1.75 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57255
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33703
1.25 KIPS |
|
|
Text Classification (SP)
|
100% |
3572
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
4498
6.00 KIPS |
|
|
Text Classification (Q)
|
97% |
2234
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
5075
87.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5174
89.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2083
46.5 IPS |
