Micro-Star International Co., Ltd. MS-7E07
Geekbench AI Score
4565
Single Precision Score
1666
Half Precision Score
5280
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | vl9invocations |
| Upload Date | October 21 2024 07:18 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E07 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-A MAX WIFI (MS-7E07) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2541
472.6 IPS |
|
|
Image Classification (HP)
|
100% |
568
105.6 IPS |
|
|
Image Classification (Q)
|
99% |
4481
835.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2261
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1217
19.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3621
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10424
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
4955
5.78 IPS |
|
|
Pose Estimation (Q)
|
95% |
34104
40.0 IPS |
|
|
Object Detection (SP)
|
100% |
2886
228.9 IPS |
|
|
Object Detection (HP)
|
100% |
734
58.2 IPS |
|
|
Object Detection (Q)
|
88% |
2541
203.7 IPS |
|
|
Face Detection (SP)
|
100% |
5107
60.7 IPS |
|
|
Face Detection (HP)
|
100% |
1754
20.8 IPS |
|
|
Face Detection (Q)
|
97% |
4930
58.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10654
82.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2381
18.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
10404
83.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24348
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12339
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
28724
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3810
140.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2256
83.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5575
206.4 IPS |
|
|
Text Classification (SP)
|
100% |
1997
2.67 KIPS |
|
|
Text Classification (HP)
|
100% |
714
953.5 IPS |
|
|
Text Classification (Q)
|
97% |
544
728.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2259
38.9 IPS |
|
|
Machine Translation (HP)
|
100% |
794
13.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2682
59.8 IPS |
