Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
3583
Single Precision Score
1495
Half Precision Score
4014
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | atlcr21 |
| Upload Date | December 07 2024 08:00 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E06 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-P WIFI DDR4 (MS-7E06) |
| Power Plan | High performance |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2896
538.5 IPS |
|
|
Image Classification (HP)
|
100% |
511
94.9 IPS |
|
|
Image Classification (Q)
|
96% |
4135
772.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1437
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
877
14.2 IPS |
|
|
Image Segmentation (Q)
|
97% |
2402
39.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6882
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
4631
5.40 IPS |
|
|
Pose Estimation (Q)
|
86% |
12441
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
2473
196.1 IPS |
|
|
Object Detection (HP)
|
100% |
689
54.7 IPS |
|
|
Object Detection (Q)
|
58% |
2797
305.6 IPS |
|
|
Face Detection (SP)
|
100% |
5065
60.2 IPS |
|
|
Face Detection (HP)
|
100% |
1467
17.4 IPS |
|
|
Face Detection (Q)
|
96% |
6787
81.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8161
62.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2081
16.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
9960
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15309
19.7 IPS |
|
|
Style Transfer (HP)
|
100% |
11148
14.3 IPS |
|
|
Style Transfer (Q)
|
87% |
13455
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2920
107.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2107
77.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3226
119.5 IPS |
|
|
Text Classification (SP)
|
100% |
1700
2.27 KIPS |
|
|
Text Classification (HP)
|
100% |
817
1.09 KIPS |
|
|
Text Classification (Q)
|
97% |
524
701.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1570
27.0 IPS |
|
|
Machine Translation (HP)
|
100% |
668
11.5 IPS |
|
|
Machine Translation (Q)
|
68% |
2045
39.5 IPS |
