Desktop-2021 Micro-Star International Co., Ltd. MS-7C24
Geekbench AI Score
3342
Single Precision Score
1417
Half Precision Score
4151
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | aldenyuan |
| Upload Date | March 12 2025 10:32 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C24 |
| Motherboard | Micro-Star International Co., Ltd. Z390M-S01 (MS-7C24) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700K |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2342
435.5 IPS |
|
|
Image Classification (HP)
|
100% |
467
86.8 IPS |
|
|
Image Classification (Q)
|
96% |
4223
788.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1256
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
734
11.9 IPS |
|
|
Image Segmentation (Q)
|
97% |
2395
39.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6735
7.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
5393
6.29 IPS |
|
|
Pose Estimation (Q)
|
86% |
11775
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
2726
216.3 IPS |
|
|
Object Detection (HP)
|
100% |
609
48.3 IPS |
|
|
Object Detection (Q)
|
58% |
1582
172.9 IPS |
|
|
Face Detection (SP)
|
100% |
3747
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
1259
15.0 IPS |
|
|
Face Detection (Q)
|
96% |
6831
81.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8213
63.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1889
14.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
9805
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15644
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12423
16.0 IPS |
|
|
Style Transfer (Q)
|
87% |
15625
20.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2432
89.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2102
77.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2808
104.0 IPS |
|
|
Text Classification (SP)
|
100% |
1529
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
742
991.0 IPS |
|
|
Text Classification (Q)
|
97% |
1292
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1802
31.0 IPS |
|
|
Machine Translation (HP)
|
100% |
630
10.8 IPS |
|
|
Machine Translation (Q)
|
68% |
2124
41.0 IPS |
