Micro-Star International Co., Ltd. MS-7C22
Geekbench AI Score
3653
Single Precision Score
3690
Half Precision Score
4634
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 12 2025 04:05 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-9600KF CPU @ 3.70GHz |
| 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% |
2336
434.4 IPS |
|
|
Image Classification (HP)
|
100% |
2343
435.7 IPS |
|
|
Image Classification (Q)
|
100% |
3436
638.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2414
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2423
39.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4213
68.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4725
5.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
4707
5.49 IPS |
|
|
Pose Estimation (Q)
|
94% |
6498
7.62 IPS |
|
|
Object Detection (SP)
|
100% |
2085
165.4 IPS |
|
|
Object Detection (HP)
|
100% |
2248
178.3 IPS |
|
|
Object Detection (Q)
|
87% |
2160
173.3 IPS |
|
|
Face Detection (SP)
|
100% |
4308
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
4470
53.1 IPS |
|
|
Face Detection (Q)
|
97% |
5794
69.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5765
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
5765
44.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
9854
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13776
17.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12791
16.4 IPS |
|
|
Style Transfer (Q)
|
98% |
26726
34.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2774
102.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2924
108.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5214
193.1 IPS |
|
|
Text Classification (SP)
|
100% |
2437
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
2433
3.25 KIPS |
|
|
Text Classification (Q)
|
91% |
875
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3302
56.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3327
57.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3233
55.7 IPS |
