Micro-Star International Co., Ltd. MS-7C91
Geekbench AI Score
5126
Single Precision Score
5156
Half Precision Score
7630
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 09:05 AM |
| 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% |
3440
639.7 IPS |
|
|
Image Classification (HP)
|
100% |
3436
639.0 IPS |
|
|
Image Classification (Q)
|
100% |
5209
968.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3649
59.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3680
59.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5686
92.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6137
7.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
6218
7.26 IPS |
|
|
Pose Estimation (Q)
|
94% |
12929
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
3173
251.7 IPS |
|
|
Object Detection (HP)
|
100% |
3216
255.1 IPS |
|
|
Object Detection (Q)
|
87% |
5168
414.5 IPS |
|
|
Face Detection (SP)
|
100% |
7145
84.9 IPS |
|
|
Face Detection (HP)
|
100% |
7266
86.3 IPS |
|
|
Face Detection (Q)
|
97% |
14951
178.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7891
60.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8016
61.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
14309
113.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18227
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
18033
23.2 IPS |
|
|
Style Transfer (Q)
|
98% |
37316
48.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3872
143.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3886
143.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7623
282.4 IPS |
|
|
Text Classification (SP)
|
100% |
3030
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3012
4.02 KIPS |
|
|
Text Classification (Q)
|
91% |
1298
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
4254
73.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4275
73.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4281
73.7 IPS |
