Micro-Star International Co., Ltd. MS-7C91
Geekbench AI Score
5781
Single Precision Score
5756
Half Precision Score
8228
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | hArDsTyLe2259 |
| Upload Date | June 21 2025 04:15 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X 12-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 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3428
637.5 IPS |
|
|
Image Classification (HP)
|
100% |
3726
693.0 IPS |
|
|
Image Classification (Q)
|
100% |
5500
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4645
75.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4471
72.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7881
128.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8482
9.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
8098
9.45 IPS |
|
|
Pose Estimation (Q)
|
94% |
20113
23.6 IPS |
|
|
Object Detection (SP)
|
100% |
3778
299.7 IPS |
|
|
Object Detection (HP)
|
100% |
3757
298.0 IPS |
|
|
Object Detection (Q)
|
87% |
6484
520.1 IPS |
|
|
Face Detection (SP)
|
100% |
8125
96.5 IPS |
|
|
Face Detection (HP)
|
100% |
7919
94.1 IPS |
|
|
Face Detection (Q)
|
97% |
18256
217.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9396
72.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9407
72.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
18039
142.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25911
33.3 IPS |
|
|
Style Transfer (HP)
|
100% |
25856
33.2 IPS |
|
|
Style Transfer (Q)
|
98% |
55808
72.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5257
194.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5211
192.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10499
388.9 IPS |
|
|
Text Classification (SP)
|
100% |
2513
3.35 KIPS |
|
|
Text Classification (HP)
|
100% |
2557
3.41 KIPS |
|
|
Text Classification (Q)
|
91% |
455
612.0 IPS |
|
|
Machine Translation (SP)
|
100% |
3128
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3074
53.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2868
49.4 IPS |
