Micro-Star International Co., Ltd. MS-7A33
Geekbench AI Score
5822
Single Precision Score
5767
Half Precision Score
7605
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tatny23 |
| Upload Date | August 08 2025 08:49 PM |
| Views | 13 |
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-7A33 |
| Motherboard | Micro-Star International Co., Ltd. X370 SLI PLUS (MS-7A33) |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3657
680.1 IPS |
|
|
Image Classification (HP)
|
100% |
3619
673.0 IPS |
|
|
Image Classification (Q)
|
100% |
5247
975.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4700
76.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4673
75.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7539
122.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9110
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
9091
10.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
19231
22.6 IPS |
|
|
Object Detection (SP)
|
100% |
3822
303.1 IPS |
|
|
Object Detection (HP)
|
100% |
3749
297.3 IPS |
|
|
Object Detection (Q)
|
87% |
6298
505.1 IPS |
|
|
Face Detection (SP)
|
100% |
7307
86.8 IPS |
|
|
Face Detection (HP)
|
100% |
7637
90.7 IPS |
|
|
Face Detection (Q)
|
97% |
16511
196.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9072
69.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9315
71.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
16307
128.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24817
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
25360
32.6 IPS |
|
|
Style Transfer (Q)
|
98% |
52596
67.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5146
190.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5187
191.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9730
360.4 IPS |
|
|
Text Classification (SP)
|
100% |
2695
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
2748
3.67 KIPS |
|
|
Text Classification (Q)
|
91% |
371
498.0 IPS |
|
|
Machine Translation (SP)
|
100% |
3282
56.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2747
47.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2645
45.6 IPS |
