Micro-Star International Co., Ltd. MS-7B89
Geekbench AI Score
3332
Single Precision Score
3329
Half Precision Score
4175
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | AndyMcSchopf |
| Upload Date | January 07 2025 07:31 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 3700X 8-Core Processor |
| 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% |
2148
399.4 IPS |
|
|
Image Classification (HP)
|
100% |
2058
382.7 IPS |
|
|
Image Classification (Q)
|
100% |
2858
531.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1104
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1131
18.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3308
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5498
6.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
4610
5.38 IPS |
|
|
Pose Estimation (Q)
|
94% |
6900
8.09 IPS |
|
|
Object Detection (SP)
|
100% |
1862
147.7 IPS |
|
|
Object Detection (HP)
|
100% |
2083
165.2 IPS |
|
|
Object Detection (Q)
|
87% |
2816
225.9 IPS |
|
|
Face Detection (SP)
|
100% |
4699
55.8 IPS |
|
|
Face Detection (HP)
|
100% |
4881
58.0 IPS |
|
|
Face Detection (Q)
|
97% |
8955
106.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5892
45.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
5995
46.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
7628
60.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15565
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
15706
20.2 IPS |
|
|
Style Transfer (Q)
|
98% |
19362
25.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3179
117.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3215
118.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3906
144.7 IPS |
|
|
Text Classification (SP)
|
100% |
2078
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
2083
2.78 KIPS |
|
|
Text Classification (Q)
|
91% |
697
936.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2448
42.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2436
42.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2433
41.9 IPS |
