Micro-Star International Co., Ltd. MS-7C22
Geekbench AI Score
10901
Single Precision Score
10948
Half Precision Score
8317
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 12 2025 04:02 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) A580 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C22 |
| Motherboard | Micro-Star International Co., Ltd. Z390 PLUS (MS-7C22) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9600KF |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4926
916.1 IPS |
|
|
Image Classification (HP)
|
100% |
4903
911.9 IPS |
|
|
Image Classification (Q)
|
99% |
4153
774.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6950
112.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
10552
171.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
6087
99.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
64777
75.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
60462
70.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
53142
62.3 IPS |
|
|
Object Detection (SP)
|
100% |
6323
501.6 IPS |
|
|
Object Detection (HP)
|
99% |
6307
501.7 IPS |
|
|
Object Detection (Q)
|
85% |
5218
419.9 IPS |
|
|
Face Detection (SP)
|
100% |
15786
187.6 IPS |
|
|
Face Detection (HP)
|
100% |
15233
181.0 IPS |
|
|
Face Detection (Q)
|
97% |
12696
151.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
28058
216.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
26515
204.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
21639
173.2 IPS |
|
|
Style Transfer (SP)
|
100% |
142873
183.7 IPS |
|
|
Style Transfer (HP)
|
100% |
123200
158.4 IPS |
|
|
Style Transfer (Q)
|
98% |
107630
138.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15333
566.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20999
775.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10883
403.0 IPS |
|
|
Text Classification (SP)
|
86% |
767
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
582
777.0 IPS |
|
|
Text Classification (Q)
|
84% |
598
811.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2272
39.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2063
35.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1175
22.0 IPS |
