Micro-Star International Co., Ltd. MS-7B89
Geekbench AI Score
5759
Single Precision Score
5706
Half Precision Score
7897
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | AndyMcSchopf |
| Upload Date | June 05 2025 11:43 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X 12-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 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% |
3445
640.6 IPS |
|
|
Image Classification (HP)
|
100% |
3228
600.3 IPS |
|
|
Image Classification (Q)
|
100% |
5320
989.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4613
74.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4609
74.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7386
120.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8847
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
8849
10.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
19160
22.5 IPS |
|
|
Object Detection (SP)
|
100% |
3692
292.9 IPS |
|
|
Object Detection (HP)
|
100% |
3713
294.5 IPS |
|
|
Object Detection (Q)
|
87% |
6260
502.1 IPS |
|
|
Face Detection (SP)
|
100% |
8117
96.4 IPS |
|
|
Face Detection (HP)
|
100% |
8210
97.5 IPS |
|
|
Face Detection (Q)
|
97% |
16268
194.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9157
70.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9385
72.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
17285
136.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26125
33.6 IPS |
|
|
Style Transfer (HP)
|
100% |
26093
33.5 IPS |
|
|
Style Transfer (Q)
|
98% |
53321
68.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5270
194.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5230
193.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10033
371.6 IPS |
|
|
Text Classification (SP)
|
100% |
2615
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
2511
3.35 KIPS |
|
|
Text Classification (Q)
|
91% |
471
633.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2892
49.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2838
48.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2826
48.7 IPS |
