Micro-Star International Co., Ltd. MS-7C91
Geekbench AI Score
2793
Single Precision Score
2960
Half Precision Score
1514
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | vrokum |
| Upload Date | November 12 2025 08:52 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 5800XT 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Pop!_OS 22.04 LTS |
| Model | Micro-Star International Co., Ltd. MS-7C91 |
| Motherboard | Micro-Star International Co., Ltd. MAG B550 TOMAHAWK (MS-7C91) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800XT 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 4.97 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2536
471.7 IPS |
|
|
Image Classification (HP)
|
100% |
2512
467.2 IPS |
|
|
Image Classification (Q)
|
99% |
1116
208.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2704
43.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3045
49.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1057
17.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2778
3.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
2788
3.25 IPS |
|
|
Pose Estimation (Q)
|
96% |
2860
3.35 IPS |
|
|
Object Detection (SP)
|
100% |
2485
197.1 IPS |
|
|
Object Detection (HP)
|
100% |
2501
198.4 IPS |
|
|
Object Detection (Q)
|
85% |
943
75.9 IPS |
|
|
Face Detection (SP)
|
100% |
3604
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
3530
41.9 IPS |
|
|
Face Detection (Q)
|
97% |
2536
30.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3034
23.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3045
23.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
1927
18.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2890
3.72 IPS |
|
|
Style Transfer (HP)
|
100% |
2899
3.73 IPS |
|
|
Style Transfer (Q)
|
98% |
5227
6.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2801
103.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2817
104.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1515
56.2 IPS |
|
|
Text Classification (SP)
|
100% |
2868
3.83 KIPS |
|
|
Text Classification (HP)
|
100% |
2868
3.83 KIPS |
|
|
Text Classification (Q)
|
92% |
794
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2408
41.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3848
66.3 IPS |
|
|
Machine Translation (Q)
|
58% |
651
15.3 IPS |
