Micro-Star International Co., Ltd. MS-7C94
Geekbench AI Score
2962
Single Precision Score
2964
Half Precision Score
1391
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| Upload Date | April 21 2025 01:03 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X3D |
| System Information | |
|---|---|
| Operating System | Linux Mint 22 |
| Model | Micro-Star International Co., Ltd. MS-7C94 |
| Motherboard | Micro-Star International Co., Ltd. MAG B550M MORTAR MAX WIFI (MS-7C94) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 4.55 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2304
428.4 IPS |
|
|
Image Classification (HP)
|
100% |
2324
432.2 IPS |
|
|
Image Classification (Q)
|
99% |
1002
186.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2760
44.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2837
46.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
974
15.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2899
3.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
2882
3.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
2672
3.13 IPS |
|
|
Object Detection (SP)
|
100% |
2336
185.3 IPS |
|
|
Object Detection (HP)
|
100% |
2346
186.0 IPS |
|
|
Object Detection (Q)
|
85% |
862
69.4 IPS |
|
|
Face Detection (SP)
|
100% |
4507
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
4518
53.7 IPS |
|
|
Face Detection (Q)
|
97% |
2336
27.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3457
26.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3485
26.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
1769
16.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2550
3.28 IPS |
|
|
Style Transfer (HP)
|
100% |
2536
3.26 IPS |
|
|
Style Transfer (Q)
|
98% |
4743
6.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2546
94.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2555
94.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1384
51.3 IPS |
|
|
Text Classification (SP)
|
100% |
2596
3.46 KIPS |
|
|
Text Classification (HP)
|
100% |
2541
3.39 KIPS |
|
|
Text Classification (Q)
|
92% |
727
977.2 IPS |
|
|
Machine Translation (SP)
|
100% |
4602
79.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4536
78.1 IPS |
|
|
Machine Translation (Q)
|
58% |
616
14.5 IPS |
