Micro-Star International Co., Ltd. MS-7E25
Geekbench AI Score
5785
Single Precision Score
1814
Half Precision Score
9035
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Medved |
| Upload Date | December 02 2024 10:13 PM |
| Views | 5 |
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% |
4526
841.7 IPS |
|
|
Image Classification (HP)
|
100% |
633
117.7 IPS |
|
|
Image Classification (Q)
|
99% |
7612
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2456
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1203
19.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4465
72.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10731
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
5033
5.87 IPS |
|
|
Pose Estimation (Q)
|
94% |
34269
40.2 IPS |
|
|
Object Detection (SP)
|
100% |
4493
356.4 IPS |
|
|
Object Detection (HP)
|
100% |
869
68.9 IPS |
|
|
Object Detection (Q)
|
86% |
7800
626.8 IPS |
|
|
Face Detection (SP)
|
100% |
12545
149.1 IPS |
|
|
Face Detection (HP)
|
100% |
2063
24.5 IPS |
|
|
Face Detection (Q)
|
97% |
12520
149.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13526
104.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2460
19.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
20096
160.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25267
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12524
16.1 IPS |
|
|
Style Transfer (Q)
|
98% |
33809
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3917
144.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2337
86.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6162
228.2 IPS |
|
|
Text Classification (SP)
|
100% |
1985
2.65 KIPS |
|
|
Text Classification (HP)
|
100% |
874
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
2032
2.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
2353
40.5 IPS |
|
|
Machine Translation (HP)
|
100% |
897
15.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3749
75.3 IPS |
