Micro-Star International Co., Ltd. MS-7C84
Geekbench AI Score
2074
Single Precision Score
2169
Half Precision Score
1790
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | badbod |
| Upload Date | July 09 2025 02:04 PM |
| Views | 4 |
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-7C84 |
| Motherboard | Micro-Star International Co., Ltd. MAG X570 TOMAHAWK WIFI (MS-7C84) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 5.09 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.71 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1487
276.6 IPS |
|
|
Image Classification (HP)
|
100% |
1531
284.8 IPS |
|
|
Image Classification (Q)
|
99% |
1221
227.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1648
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2314
37.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1259
20.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2781
3.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
2790
3.26 IPS |
|
|
Pose Estimation (Q)
|
96% |
4289
5.03 IPS |
|
|
Object Detection (SP)
|
100% |
1650
130.9 IPS |
|
|
Object Detection (HP)
|
100% |
1637
129.8 IPS |
|
|
Object Detection (Q)
|
85% |
1463
117.8 IPS |
|
|
Face Detection (SP)
|
100% |
2653
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
2636
31.3 IPS |
|
|
Face Detection (Q)
|
97% |
2769
33.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2394
18.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2341
18.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
2181
20.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3037
3.90 IPS |
|
|
Style Transfer (HP)
|
100% |
3094
3.98 IPS |
|
|
Style Transfer (Q)
|
98% |
6590
8.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1629
60.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1598
59.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1828
67.7 IPS |
|
|
Text Classification (SP)
|
100% |
1470
1.96 KIPS |
|
|
Text Classification (HP)
|
100% |
1519
2.03 KIPS |
|
|
Text Classification (Q)
|
92% |
732
983.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2845
49.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3081
53.1 IPS |
|
|
Machine Translation (Q)
|
58% |
660
15.5 IPS |
