Micro-Star International Co., Ltd. MS-7B89
Geekbench AI Score
3143
Single Precision Score
1261
Half Precision Score
4773
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | AndyMcSchopf |
| Upload Date | June 05 2025 11:41 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B89 |
| Motherboard | Micro-Star International Co., Ltd. B450M MORTAR MAX (MS-7B89) |
| Power Plan | AMD Ryzen 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2378
442.1 IPS |
|
|
Image Classification (HP)
|
100% |
495
92.0 IPS |
|
|
Image Classification (Q)
|
96% |
4346
811.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1542
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
672
10.9 IPS |
|
|
Image Segmentation (Q)
|
97% |
2780
45.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6667
7.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
5112
5.96 IPS |
|
|
Pose Estimation (Q)
|
86% |
15133
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2434
193.1 IPS |
|
|
Object Detection (HP)
|
100% |
604
47.9 IPS |
|
|
Object Detection (Q)
|
58% |
3829
418.4 IPS |
|
|
Face Detection (SP)
|
100% |
5560
66.1 IPS |
|
|
Face Detection (HP)
|
100% |
1282
15.2 IPS |
|
|
Face Detection (Q)
|
96% |
7995
95.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6432
49.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1767
13.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
10309
82.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12944
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10904
14.0 IPS |
|
|
Style Transfer (Q)
|
87% |
17303
22.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1791
66.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1526
56.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2416
89.5 IPS |
|
|
Text Classification (SP)
|
100% |
1017
1.36 KIPS |
|
|
Text Classification (HP)
|
100% |
454
606.0 IPS |
|
|
Text Classification (Q)
|
97% |
1005
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1876
32.3 IPS |
|
|
Machine Translation (HP)
|
100% |
583
10.0 IPS |
|
|
Machine Translation (Q)
|
68% |
2536
49.0 IPS |
