Micro-Star International Co., Ltd. MS-7D31
Geekbench AI Score
3747
Single Precision Score
1562
Half Precision Score
5442
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tangreg99 |
| Upload Date | December 28 2024 02:53 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D31 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z690 EDGE WIFI DDR4 (MS-7D31) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700K |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2788
518.4 IPS |
|
|
Image Classification (HP)
|
100% |
560
104.2 IPS |
|
|
Image Classification (Q)
|
99% |
6289
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1513
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
894
14.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2612
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7481
8.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
4607
5.38 IPS |
|
|
Pose Estimation (Q)
|
94% |
23930
28.1 IPS |
|
|
Object Detection (SP)
|
100% |
2613
207.2 IPS |
|
|
Object Detection (HP)
|
100% |
701
55.6 IPS |
|
|
Object Detection (Q)
|
86% |
5180
416.3 IPS |
|
|
Face Detection (SP)
|
100% |
5037
59.9 IPS |
|
|
Face Detection (HP)
|
100% |
1506
17.9 IPS |
|
|
Face Detection (Q)
|
97% |
7806
93.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8975
69.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2215
17.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
14475
115.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16386
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
11550
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
16598
21.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3077
113.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2256
83.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4156
153.9 IPS |
|
|
Text Classification (SP)
|
100% |
1750
2.34 KIPS |
|
|
Text Classification (HP)
|
100% |
832
1.11 KIPS |
|
|
Text Classification (Q)
|
97% |
591
791.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1663
28.6 IPS |
|
|
Machine Translation (HP)
|
100% |
743
12.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2431
48.8 IPS |
