Micro-Star International Co., Ltd. MS-7C91
Geekbench AI Score
6048
Single Precision Score
6007
Half Precision Score
8341
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | hArDsTyLe2259 |
| Upload Date | June 24 2025 02:31 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X3D 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 (MS-7C91) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X3D |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3709
689.8 IPS |
|
|
Image Classification (HP)
|
100% |
3725
692.8 IPS |
|
|
Image Classification (Q)
|
100% |
5413
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4417
71.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4526
73.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6591
107.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7153
8.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
7177
8.37 IPS |
|
|
Pose Estimation (Q)
|
94% |
14767
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
3688
292.5 IPS |
|
|
Object Detection (HP)
|
100% |
3615
286.8 IPS |
|
|
Object Detection (Q)
|
87% |
5697
456.9 IPS |
|
|
Face Detection (SP)
|
100% |
10339
122.9 IPS |
|
|
Face Detection (HP)
|
100% |
10420
123.8 IPS |
|
|
Face Detection (Q)
|
97% |
16682
198.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9351
72.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9379
72.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
16125
127.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20813
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
20479
26.3 IPS |
|
|
Style Transfer (Q)
|
98% |
41734
53.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4316
159.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4350
160.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8371
310.1 IPS |
|
|
Text Classification (SP)
|
100% |
3206
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
3130
4.18 KIPS |
|
|
Text Classification (Q)
|
91% |
1120
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
5448
93.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5133
88.4 IPS |
|
|
Machine Translation (Q)
|
100% |
5162
88.9 IPS |
