Micro-Star International Co., Ltd. MS-7E25
Geekbench AI Score
4602
Single Precision Score
1561
Half Precision Score
4295
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 17 2024 07:52 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Professionnel (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E25 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z790 TOMAHAWK MAX WIFI (MS-7E25) |
| Power Plan | Performances leves |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2198
408.7 IPS |
|
|
Image Classification (HP)
|
100% |
527
97.9 IPS |
|
|
Image Classification (Q)
|
96% |
3599
672.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2304
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1017
16.5 IPS |
|
|
Image Segmentation (Q)
|
97% |
3342
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11371
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
4807
5.61 IPS |
|
|
Pose Estimation (Q)
|
87% |
18505
21.9 IPS |
|
|
Object Detection (SP)
|
100% |
3045
241.5 IPS |
|
|
Object Detection (HP)
|
100% |
715
56.7 IPS |
|
|
Object Detection (Q)
|
86% |
2237
179.8 IPS |
|
|
Face Detection (SP)
|
100% |
5129
60.9 IPS |
|
|
Face Detection (HP)
|
100% |
1652
19.6 IPS |
|
|
Face Detection (Q)
|
96% |
5094
60.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11139
85.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2124
16.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
8176
65.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25147
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12217
15.7 IPS |
|
|
Style Transfer (Q)
|
87% |
22581
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4177
154.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2229
82.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4007
148.5 IPS |
|
|
Text Classification (SP)
|
100% |
1809
2.42 KIPS |
|
|
Text Classification (HP)
|
100% |
716
956.3 IPS |
|
|
Text Classification (Q)
|
97% |
544
728.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2241
38.6 IPS |
|
|
Machine Translation (HP)
|
100% |
685
11.8 IPS |
|
|
Machine Translation (Q)
|
60% |
2094
46.7 IPS |
