Micro-Star International Co., Ltd. MS-7C94
Geekbench AI Score
73
Single Precision Score
73
Half Precision Score
56
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| Upload Date | June 30 2025 03:23 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 3700X |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | Micro-Star International Co., Ltd. MS-7C94 |
| Motherboard | Micro-Star International Co., Ltd. MAG B550M MORTAR WIFI (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 | 31.27 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
43
7.97 IPS |
|
|
Image Classification (HP)
|
100% |
43
7.94 IPS |
|
|
Image Classification (Q)
|
97% |
35
6.47 IPS |
|
|
Image Segmentation (SP)
|
100% |
58
0.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
58
0.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
45
0.74 IPS |
|
|
Pose Estimation (SP)
|
100% |
68
0.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
68
0.08 IPS |
|
|
Pose Estimation (Q)
|
96% |
58
0.07 IPS |
|
|
Object Detection (SP)
|
100% |
40
3.21 IPS |
|
|
Object Detection (HP)
|
100% |
40
3.21 IPS |
|
|
Object Detection (Q)
|
87% |
33
2.65 IPS |
|
|
Face Detection (SP)
|
100% |
139
1.65 IPS |
|
|
Face Detection (HP)
|
100% |
139
1.65 IPS |
|
|
Face Detection (Q)
|
97% |
108
1.29 IPS |
|
|
Depth Estimation (SP)
|
100% |
99
0.76 IPS |
|
|
Depth Estimation (HP)
|
99% |
99
0.76 IPS |
|
|
Depth Estimation (Q)
|
64% |
68
0.63 IPS |
|
|
Style Transfer (SP)
|
100% |
206
0.27 IPS |
|
|
Style Transfer (HP)
|
100% |
206
0.27 IPS |
|
|
Style Transfer (Q)
|
98% |
175
0.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44
1.63 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44
1.63 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
36
1.33 IPS |
|
|
Text Classification (SP)
|
100% |
54
72.3 IPS |
|
|
Text Classification (HP)
|
100% |
54
72.6 IPS |
|
|
Text Classification (Q)
|
91% |
41
55.1 IPS |
|
|
Machine Translation (SP)
|
100% |
101
1.75 IPS |
|
|
Machine Translation (HP)
|
100% |
102
1.75 IPS |
|
|
Machine Translation (Q)
|
58% |
54
1.28 IPS |
