Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
3588
Single Precision Score
1416
Half Precision Score
5378
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 02 2025 11:14 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900XT 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd MS-7B86 |
| Motherboard | Micro-Star International Co., Ltd B450 GAMING PLUS MAX (MS-7B86) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900XT 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2508
466.4 IPS |
|
|
Image Classification (HP)
|
100% |
487
90.5 IPS |
|
|
Image Classification (Q)
|
96% |
4947
923.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1677
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
656
10.6 IPS |
|
|
Image Segmentation (Q)
|
97% |
6190
100.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6301
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
5095
5.94 IPS |
|
|
Pose Estimation (Q)
|
86% |
13141
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
2674
212.1 IPS |
|
|
Object Detection (HP)
|
100% |
575
45.6 IPS |
|
|
Object Detection (Q)
|
58% |
3582
391.4 IPS |
|
|
Face Detection (SP)
|
100% |
5374
63.9 IPS |
|
|
Face Detection (HP)
|
100% |
1363
16.2 IPS |
|
|
Face Detection (Q)
|
96% |
8400
100.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7988
61.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1712
13.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
11331
90.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16193
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13639
17.5 IPS |
|
|
Style Transfer (Q)
|
87% |
14471
18.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2284
84.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2114
78.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3478
128.9 IPS |
|
|
Text Classification (SP)
|
100% |
1538
2.05 KIPS |
|
|
Text Classification (HP)
|
100% |
661
881.9 IPS |
|
|
Text Classification (Q)
|
97% |
1051
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2048
35.3 IPS |
|
|
Machine Translation (HP)
|
100% |
784
13.5 IPS |
|
|
Machine Translation (Q)
|
68% |
2791
53.9 IPS |
