Micro-Star International Co., Ltd. MS-7C22
Geekbench AI Score
2875
Single Precision Score
1230
Half Precision Score
3937
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 12 2025 03:54 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-9600KF |
| 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 | Ultimate Performance |
| 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% |
2387
443.8 IPS |
|
|
Image Classification (HP)
|
100% |
431
80.2 IPS |
|
|
Image Classification (Q)
|
96% |
3090
577.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1099
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
649
10.5 IPS |
|
|
Image Segmentation (Q)
|
97% |
3400
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4806
5.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
3683
4.30 IPS |
|
|
Pose Estimation (Q)
|
86% |
8275
9.78 IPS |
|
|
Object Detection (SP)
|
100% |
2270
180.1 IPS |
|
|
Object Detection (HP)
|
100% |
563
44.6 IPS |
|
|
Object Detection (Q)
|
58% |
2290
250.2 IPS |
|
|
Face Detection (SP)
|
100% |
3634
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
1116
13.3 IPS |
|
|
Face Detection (Q)
|
96% |
5850
69.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5957
45.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1645
12.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
7390
59.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11052
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9045
11.6 IPS |
|
|
Style Transfer (Q)
|
87% |
13241
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2069
76.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1748
64.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3208
118.9 IPS |
|
|
Text Classification (SP)
|
100% |
1448
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
710
947.4 IPS |
|
|
Text Classification (Q)
|
97% |
1157
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1887
32.5 IPS |
|
|
Machine Translation (HP)
|
100% |
664
11.4 IPS |
|
|
Machine Translation (Q)
|
68% |
2116
40.9 IPS |
