Micro-Star International Co., Ltd. MS-7C91
Geekbench AI Score
4645
Single Precision Score
4694
Half Precision Score
7094
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | alexvb |
| Upload Date | April 16 2026 04:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C91 |
| Motherboard | Micro-Star International Co., Ltd. MAG B550 TORPEDO (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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3242
602.8 IPS |
|
|
Image Classification (HP)
|
100% |
3239
602.4 IPS |
|
|
Image Classification (Q)
|
100% |
4435
824.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2895
46.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3161
51.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
6063
98.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4914
5.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
4838
5.64 IPS |
|
|
Pose Estimation (Q)
|
94% |
11394
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
2902
230.2 IPS |
|
|
Object Detection (HP)
|
100% |
3014
239.1 IPS |
|
|
Object Detection (Q)
|
87% |
5283
423.7 IPS |
|
|
Face Detection (SP)
|
100% |
6339
75.3 IPS |
|
|
Face Detection (HP)
|
100% |
7006
83.2 IPS |
|
|
Face Detection (Q)
|
97% |
14642
174.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7463
57.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6951
53.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
13805
108.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16056
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
18603
23.9 IPS |
|
|
Style Transfer (Q)
|
98% |
35563
45.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3789
139.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3749
138.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7639
283.0 IPS |
|
|
Text Classification (SP)
|
100% |
2769
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
2515
3.36 KIPS |
|
|
Text Classification (Q)
|
91% |
1131
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4388
75.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4073
70.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3213
55.3 IPS |
