Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
4791
Single Precision Score
894
Half Precision Score
6426
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | November 24 2024 08:38 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E06 |
| Motherboard | Micro-Star International Co., Ltd. Z790 GAMING PLUS WIFI (MS-7E06) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2848
529.7 IPS |
|
|
Image Classification (HP)
|
100% |
166
30.8 IPS |
|
|
Image Classification (Q)
|
99% |
4560
850.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2045
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
305
4.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
4089
66.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12245
14.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
5142
6.00 IPS |
|
|
Pose Estimation (Q)
|
95% |
38501
45.1 IPS |
|
|
Object Detection (SP)
|
100% |
3207
254.4 IPS |
|
|
Object Detection (HP)
|
100% |
229
18.1 IPS |
|
|
Object Detection (Q)
|
88% |
2650
212.4 IPS |
|
|
Face Detection (SP)
|
100% |
5136
61.0 IPS |
|
|
Face Detection (HP)
|
100% |
333
3.95 IPS |
|
|
Face Detection (Q)
|
97% |
5527
65.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11532
88.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1048
8.07 IPS |
|
|
Depth Estimation (Q)
|
76% |
12195
98.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27204
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12798
16.5 IPS |
|
|
Style Transfer (Q)
|
98% |
27984
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4134
152.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2321
85.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5628
208.4 IPS |
|
|
Text Classification (SP)
|
100% |
1913
2.55 KIPS |
|
|
Text Classification (HP)
|
100% |
691
922.7 IPS |
|
|
Text Classification (Q)
|
97% |
1717
2.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2190
37.7 IPS |
|
|
Machine Translation (HP)
|
100% |
769
13.2 IPS |
|
|
Machine Translation (Q)
|
60% |
3465
77.3 IPS |
