Micro-Star International Co., Ltd. MS-7E25
Geekbench AI Score
4863
Single Precision Score
1751
Half Precision Score
6647
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Medved |
| Upload Date | December 02 2024 04:19 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700K |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E25 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z790 TOMAHAWK MAX WIFI (MS-7E25) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2641
491.1 IPS |
|
|
Image Classification (HP)
|
100% |
655
121.7 IPS |
|
|
Image Classification (Q)
|
99% |
4693
875.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2446
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1217
19.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4335
70.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10769
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
4915
5.74 IPS |
|
|
Pose Estimation (Q)
|
95% |
34687
40.7 IPS |
|
|
Object Detection (SP)
|
100% |
3239
256.9 IPS |
|
|
Object Detection (HP)
|
100% |
766
60.7 IPS |
|
|
Object Detection (Q)
|
88% |
2620
210.0 IPS |
|
|
Face Detection (SP)
|
100% |
6184
73.5 IPS |
|
|
Face Detection (HP)
|
100% |
2016
24.0 IPS |
|
|
Face Detection (Q)
|
97% |
6299
75.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11356
87.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2296
17.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
11944
95.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25440
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12200
15.7 IPS |
|
|
Style Transfer (Q)
|
98% |
32762
42.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3905
144.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2326
85.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6045
223.8 IPS |
|
|
Text Classification (SP)
|
100% |
2073
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
828
1.10 KIPS |
|
|
Text Classification (Q)
|
97% |
1953
2.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2271
39.1 IPS |
|
|
Machine Translation (HP)
|
100% |
831
14.3 IPS |
|
|
Machine Translation (Q)
|
60% |
3130
69.8 IPS |
