Micro-Star International Co., Ltd. MS-7B89
Geekbench AI Score
11240
Single Precision Score
19019
Half Precision Score
7970
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 14 2025 03:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 |
| 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 | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4977
925.6 IPS |
|
|
Image Classification (HP)
|
100% |
8596
1.60 KIPS |
|
|
Image Classification (Q)
|
99% |
3912
729.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7513
121.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
10351
167.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
6159
100.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
52634
61.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
144417
168.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
44388
52.0 IPS |
|
|
Object Detection (SP)
|
100% |
5642
447.5 IPS |
|
|
Object Detection (HP)
|
100% |
9562
758.4 IPS |
|
|
Object Detection (Q)
|
84% |
4505
363.4 IPS |
|
|
Face Detection (SP)
|
100% |
13525
160.7 IPS |
|
|
Face Detection (HP)
|
100% |
21702
257.9 IPS |
|
|
Face Detection (Q)
|
97% |
11039
131.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
27984
215.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
53933
415.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
19765
157.9 IPS |
|
|
Style Transfer (SP)
|
100% |
94452
121.4 IPS |
|
|
Style Transfer (HP)
|
100% |
217661
279.8 IPS |
|
|
Style Transfer (Q)
|
98% |
76739
99.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16556
611.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27784
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
10037
371.7 IPS |
|
|
Text Classification (SP)
|
100% |
1758
2.35 KIPS |
|
|
Text Classification (HP)
|
99% |
2536
3.39 KIPS |
|
|
Text Classification (Q)
|
97% |
1024
1.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2787
48.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2809
48.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1248
23.4 IPS |
