Micro-Star International Co., Ltd. MS-7C94
Geekbench AI Score
1727
Single Precision Score
1741
Half Precision Score
1151
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | norisdata |
| Upload Date | February 10 2026 02:46 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 3700X |
| System Information | |
|---|---|
| Operating System | Fedora Linux 42 (Workstation Edition) |
| Model | Micro-Star International Co., Ltd. MS-7C94 |
| Motherboard | Micro-Star International Co., Ltd. MAG B550M MORTAR (MS-7C94) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1193
221.9 IPS |
|
|
Image Classification (HP)
|
100% |
1195
222.2 IPS |
|
|
Image Classification (Q)
|
99% |
774
144.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1636
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1633
26.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
851
13.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2438
2.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
2442
2.85 IPS |
|
|
Pose Estimation (Q)
|
96% |
2379
2.79 IPS |
|
|
Object Detection (SP)
|
100% |
1267
100.5 IPS |
|
|
Object Detection (HP)
|
100% |
1293
102.6 IPS |
|
|
Object Detection (Q)
|
85% |
726
58.5 IPS |
|
|
Face Detection (SP)
|
100% |
2096
24.9 IPS |
|
|
Face Detection (HP)
|
100% |
2107
25.0 IPS |
|
|
Face Detection (Q)
|
97% |
1648
19.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2062
15.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2033
15.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
1521
14.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2840
3.65 IPS |
|
|
Style Transfer (HP)
|
100% |
2842
3.65 IPS |
|
|
Style Transfer (Q)
|
98% |
4313
5.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1325
48.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1320
48.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1161
43.0 IPS |
|
|
Text Classification (SP)
|
100% |
1304
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
1301
1.74 KIPS |
|
|
Text Classification (Q)
|
92% |
572
767.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1855
32.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1989
34.3 IPS |
|
|
Machine Translation (Q)
|
58% |
500
11.7 IPS |
