Micro-Star International Co., Ltd. MS-7C91
Geekbench AI Score
5150
Single Precision Score
5163
Half Precision Score
7615
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 05 2025 10:07 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C91 |
| Motherboard | Micro-Star International Co., Ltd. MAG B550 TOMAHAWK MAX WIFI (MS-7C91) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3446
640.8 IPS |
|
|
Image Classification (HP)
|
100% |
3458
643.1 IPS |
|
|
Image Classification (Q)
|
100% |
5119
951.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3680
59.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3674
59.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5619
91.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6274
7.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
6307
7.36 IPS |
|
|
Pose Estimation (Q)
|
94% |
13032
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
3151
250.0 IPS |
|
|
Object Detection (HP)
|
100% |
3162
250.8 IPS |
|
|
Object Detection (Q)
|
87% |
5186
416.0 IPS |
|
|
Face Detection (SP)
|
100% |
7278
86.5 IPS |
|
|
Face Detection (HP)
|
100% |
7171
85.2 IPS |
|
|
Face Detection (Q)
|
97% |
15048
179.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7809
60.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7981
61.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
14245
112.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18352
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
18382
23.6 IPS |
|
|
Style Transfer (Q)
|
98% |
37215
48.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3873
143.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3874
143.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7539
279.3 IPS |
|
|
Text Classification (SP)
|
100% |
3005
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3012
4.02 KIPS |
|
|
Text Classification (Q)
|
91% |
1322
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
4320
74.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4333
74.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4243
73.1 IPS |
