Micro-Star International Co., Ltd. MS-7B89
Geekbench AI Score
3068
Single Precision Score
1224
Half Precision Score
5564
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Isochrone |
| Upload Date | January 25 2026 05:20 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| 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 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2331
433.5 IPS |
|
|
Image Classification (HP)
|
100% |
410
76.2 IPS |
|
|
Image Classification (Q)
|
96% |
4916
918.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1408
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
617
10.0 IPS |
|
|
Image Segmentation (Q)
|
97% |
7242
117.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6200
7.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
4688
5.47 IPS |
|
|
Pose Estimation (Q)
|
86% |
15722
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2290
181.6 IPS |
|
|
Object Detection (HP)
|
100% |
542
43.0 IPS |
|
|
Object Detection (Q)
|
58% |
3957
432.3 IPS |
|
|
Face Detection (SP)
|
100% |
5376
63.9 IPS |
|
|
Face Detection (HP)
|
100% |
1117
13.3 IPS |
|
|
Face Detection (Q)
|
96% |
8250
98.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7219
55.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1800
13.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
12155
97.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13796
17.7 IPS |
|
|
Style Transfer (HP)
|
100% |
11432
14.7 IPS |
|
|
Style Transfer (Q)
|
87% |
18163
23.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1729
63.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1534
56.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3169
117.4 IPS |
|
|
Text Classification (SP)
|
100% |
1082
1.44 KIPS |
|
|
Text Classification (HP)
|
100% |
529
705.5 IPS |
|
|
Text Classification (Q)
|
97% |
1038
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1585
27.3 IPS |
|
|
Machine Translation (HP)
|
100% |
631
10.9 IPS |
|
|
Machine Translation (Q)
|
68% |
2145
41.4 IPS |
