Micro-Star International Co., Ltd. MS-7B85
Geekbench AI Score
4149
Single Precision Score
1744
Half Precision Score
5678
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 28 2025 01:07 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B85 |
| Motherboard | Micro-Star International Co., Ltd. B450 GAMING PRO CARBON AC (MS-7B85) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3453
642.1 IPS |
|
|
Image Classification (HP)
|
100% |
674
125.3 IPS |
|
|
Image Classification (Q)
|
96% |
5366
1.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1517
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
891
14.5 IPS |
|
|
Image Segmentation (Q)
|
97% |
2961
48.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6552
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
5369
6.27 IPS |
|
|
Pose Estimation (Q)
|
86% |
12956
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
3466
274.9 IPS |
|
|
Object Detection (HP)
|
100% |
837
66.4 IPS |
|
|
Object Detection (Q)
|
58% |
3882
424.2 IPS |
|
|
Face Detection (SP)
|
100% |
5676
67.4 IPS |
|
|
Face Detection (HP)
|
100% |
1707
20.3 IPS |
|
|
Face Detection (Q)
|
96% |
9309
111.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9064
69.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2441
18.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
12511
99.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16210
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
12744
16.4 IPS |
|
|
Style Transfer (Q)
|
87% |
15754
20.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3019
111.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2548
94.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3487
129.2 IPS |
|
|
Text Classification (SP)
|
100% |
1720
2.30 KIPS |
|
|
Text Classification (HP)
|
100% |
836
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1724
2.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2936
50.6 IPS |
|
|
Machine Translation (HP)
|
100% |
855
14.7 IPS |
|
|
Machine Translation (Q)
|
68% |
3954
76.4 IPS |
