Micro-Star International Co., Ltd. MS-7C22
Geekbench AI Score
8816
Single Precision Score
10620
Half Precision Score
6575
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 12 2025 03:59 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6500 XT |
| 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% |
3283
610.5 IPS |
|
|
Image Classification (HP)
|
100% |
3451
641.8 IPS |
|
|
Image Classification (Q)
|
100% |
2641
491.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5365
87.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4330
70.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4479
72.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
50563
59.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
83943
97.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
40610
47.6 IPS |
|
|
Object Detection (SP)
|
100% |
3447
273.4 IPS |
|
|
Object Detection (HP)
|
100% |
4032
319.8 IPS |
|
|
Object Detection (Q)
|
87% |
2945
236.6 IPS |
|
|
Face Detection (SP)
|
100% |
9244
109.8 IPS |
|
|
Face Detection (HP)
|
100% |
12486
148.4 IPS |
|
|
Face Detection (Q)
|
97% |
7649
91.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
22415
172.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
29833
229.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
17076
137.1 IPS |
|
|
Style Transfer (SP)
|
100% |
92232
118.6 IPS |
|
|
Style Transfer (HP)
|
100% |
118028
151.7 IPS |
|
|
Style Transfer (Q)
|
98% |
72290
93.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15655
578.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19123
706.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10177
376.8 IPS |
|
|
Text Classification (SP)
|
100% |
1638
2.19 KIPS |
|
|
Text Classification (HP)
|
100% |
2197
2.93 KIPS |
|
|
Text Classification (Q)
|
97% |
1026
1.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1886
32.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1954
33.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1084
20.3 IPS |
