Micro-Star International Co., Ltd. MS-7C91
Geekbench AI Score
2806
Single Precision Score
1266
Half Precision Score
4724
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | alexvb |
| Upload Date | April 16 2026 03:59 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X |
| 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% |
1925
358.0 IPS |
|
|
Image Classification (HP)
|
100% |
433
80.6 IPS |
|
|
Image Classification (Q)
|
96% |
3392
633.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1470
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
588
9.53 IPS |
|
|
Image Segmentation (Q)
|
97% |
4243
69.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3836
4.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
3184
3.72 IPS |
|
|
Pose Estimation (Q)
|
86% |
8180
9.67 IPS |
|
|
Object Detection (SP)
|
100% |
1732
137.4 IPS |
|
|
Object Detection (HP)
|
100% |
535
42.5 IPS |
|
|
Object Detection (Q)
|
58% |
2587
282.7 IPS |
|
|
Face Detection (SP)
|
100% |
4419
52.5 IPS |
|
|
Face Detection (HP)
|
100% |
1440
17.1 IPS |
|
|
Face Detection (Q)
|
96% |
8370
99.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5627
43.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2002
15.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
9198
73.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10878
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9405
12.1 IPS |
|
|
Style Transfer (Q)
|
87% |
15318
19.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1995
73.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1633
60.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4082
151.3 IPS |
|
|
Text Classification (SP)
|
100% |
1315
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
671
895.8 IPS |
|
|
Text Classification (Q)
|
97% |
1240
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2269
39.1 IPS |
|
|
Machine Translation (HP)
|
100% |
826
14.2 IPS |
|
|
Machine Translation (Q)
|
68% |
3048
58.9 IPS |
