Micro-Star International Co., Ltd. MS-7E28
Geekbench AI Score
3338
Single Precision Score
881
Half Precision Score
4844
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Odai |
| Upload Date | August 23 2024 01:47 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7700 |
| 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 | Balanced |
| 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% |
2129
396.0 IPS |
|
|
Image Classification (HP)
|
100% |
170
31.5 IPS |
|
|
Image Classification (Q)
|
99% |
5389
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1579
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
274
4.44 IPS |
|
|
Image Segmentation (Q)
|
98% |
2617
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5436
6.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
4294
5.01 IPS |
|
|
Pose Estimation (Q)
|
95% |
23124
27.1 IPS |
|
|
Object Detection (SP)
|
100% |
2142
169.9 IPS |
|
|
Object Detection (HP)
|
100% |
235
18.6 IPS |
|
|
Object Detection (Q)
|
88% |
2350
188.4 IPS |
|
|
Face Detection (SP)
|
100% |
3334
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
356
4.22 IPS |
|
|
Face Detection (Q)
|
97% |
5297
63.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7173
55.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1114
8.59 IPS |
|
|
Depth Estimation (Q)
|
76% |
11403
91.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12741
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11582
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
27312
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2414
89.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2185
80.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4359
161.4 IPS |
|
|
Text Classification (SP)
|
100% |
2361
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
822
1.10 KIPS |
|
|
Text Classification (Q)
|
97% |
446
597.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2528
43.5 IPS |
|
|
Machine Translation (HP)
|
100% |
732
12.6 IPS |
|
|
Machine Translation (Q)
|
60% |
2897
64.6 IPS |
