Micro-Star International Co., Ltd. MS-7C91
Geekbench AI Score
2061
Single Precision Score
2134
Half Precision Score
1763
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | davidthemaster30 |
| Upload Date | February 10 2025 06:47 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | Micro-Star International Co., Ltd. MS-7C91 |
| Motherboard | Micro-Star International Co., Ltd. MPG B550 GAMING EDGE WIFI (MS-7C91) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 5.08 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.71 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1564
290.9 IPS |
|
|
Image Classification (HP)
|
100% |
1560
290.1 IPS |
|
|
Image Classification (Q)
|
99% |
1193
222.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1556
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1990
32.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1267
20.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2716
3.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
2821
3.29 IPS |
|
|
Pose Estimation (Q)
|
96% |
4192
4.91 IPS |
|
|
Object Detection (SP)
|
100% |
1674
132.7 IPS |
|
|
Object Detection (HP)
|
100% |
1700
134.8 IPS |
|
|
Object Detection (Q)
|
85% |
1424
114.6 IPS |
|
|
Face Detection (SP)
|
100% |
2660
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
2605
31.0 IPS |
|
|
Face Detection (Q)
|
97% |
2673
31.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2226
17.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2287
17.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
2175
20.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3033
3.90 IPS |
|
|
Style Transfer (HP)
|
100% |
3040
3.91 IPS |
|
|
Style Transfer (Q)
|
98% |
6481
8.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1646
60.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1655
61.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1804
66.8 IPS |
|
|
Text Classification (SP)
|
100% |
1441
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
1456
1.94 KIPS |
|
|
Text Classification (Q)
|
92% |
718
964.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2942
50.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3024
52.1 IPS |
|
|
Machine Translation (Q)
|
58% |
659
15.5 IPS |
