Micro-Star International Co., Ltd. MS-7A38
Geekbench AI Score
4229
Single Precision Score
1691
Half Precision Score
5211
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Shakov9202 |
| Upload Date | January 16 2025 01:16 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X3D |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7A38 |
| Motherboard | Micro-Star International Co., Ltd. B450M PRO-VDH MAX (MS-7A38) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3380
628.5 IPS |
|
|
Image Classification (HP)
|
100% |
629
117.0 IPS |
|
|
Image Classification (Q)
|
96% |
4950
924.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1818
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
844
13.7 IPS |
|
|
Image Segmentation (Q)
|
97% |
2639
42.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6259
7.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
5206
6.07 IPS |
|
|
Pose Estimation (Q)
|
86% |
12198
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
3231
256.3 IPS |
|
|
Object Detection (HP)
|
100% |
789
62.6 IPS |
|
|
Object Detection (Q)
|
58% |
3437
375.5 IPS |
|
|
Face Detection (SP)
|
100% |
8778
104.3 IPS |
|
|
Face Detection (HP)
|
100% |
1885
22.4 IPS |
|
|
Face Detection (Q)
|
96% |
8340
99.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8778
67.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2464
19.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
12324
98.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16292
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12989
16.7 IPS |
|
|
Style Transfer (Q)
|
87% |
18376
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2809
103.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2409
89.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3122
115.7 IPS |
|
|
Text Classification (SP)
|
100% |
1599
2.13 KIPS |
|
|
Text Classification (HP)
|
100% |
755
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1481
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2614
45.0 IPS |
|
|
Machine Translation (HP)
|
100% |
803
13.8 IPS |
|
|
Machine Translation (Q)
|
68% |
3089
59.7 IPS |
