Micro-Star International Co., Ltd. MS-7B89
Geekbench AI Score
2162
Single Precision Score
994
Half Precision Score
2766
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | AndyMcSchopf |
| Upload Date | January 07 2025 07:28 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 3700X |
| 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 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1598
297.2 IPS |
|
|
Image Classification (HP)
|
100% |
370
68.9 IPS |
|
|
Image Classification (Q)
|
96% |
2316
432.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
695
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
482
7.82 IPS |
|
|
Image Segmentation (Q)
|
97% |
1666
27.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4094
4.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
3165
3.69 IPS |
|
|
Pose Estimation (Q)
|
86% |
5093
6.02 IPS |
|
|
Object Detection (SP)
|
100% |
1630
129.3 IPS |
|
|
Object Detection (HP)
|
100% |
465
36.9 IPS |
|
|
Object Detection (Q)
|
58% |
1752
191.4 IPS |
|
|
Face Detection (SP)
|
100% |
3478
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
1053
12.5 IPS |
|
|
Face Detection (Q)
|
96% |
5279
63.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4866
37.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1531
11.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
5570
44.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9184
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
7287
9.37 IPS |
|
|
Style Transfer (Q)
|
87% |
10263
13.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1431
52.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1336
49.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1622
60.1 IPS |
|
|
Text Classification (SP)
|
100% |
1008
1.35 KIPS |
|
|
Text Classification (HP)
|
100% |
455
606.8 IPS |
|
|
Text Classification (Q)
|
97% |
868
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1343
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
504
8.69 IPS |
|
|
Machine Translation (Q)
|
68% |
1798
34.7 IPS |
