Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
6449
Single Precision Score
2433
Half Precision Score
9712
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 01:58 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E32 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z890 TOMAHAWK WIFI (MS-7E32) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265KF |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5045
938.2 IPS |
|
|
Image Classification (HP)
|
100% |
791
147.1 IPS |
|
|
Image Classification (Q)
|
99% |
8671
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2447
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1459
23.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4117
66.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14644
17.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
8203
9.57 IPS |
|
|
Pose Estimation (Q)
|
94% |
43760
51.3 IPS |
|
|
Object Detection (SP)
|
100% |
4670
370.4 IPS |
|
|
Object Detection (HP)
|
100% |
1056
83.7 IPS |
|
|
Object Detection (Q)
|
86% |
10923
877.9 IPS |
|
|
Face Detection (SP)
|
100% |
12118
144.0 IPS |
|
|
Face Detection (HP)
|
100% |
2561
30.4 IPS |
|
|
Face Detection (Q)
|
97% |
12642
150.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13470
103.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3314
25.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
21920
174.9 IPS |
|
|
Style Transfer (SP)
|
100% |
31620
40.6 IPS |
|
|
Style Transfer (HP)
|
100% |
21248
27.3 IPS |
|
|
Style Transfer (Q)
|
98% |
30741
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5009
185.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3706
136.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6418
237.6 IPS |
|
|
Text Classification (SP)
|
100% |
2043
2.73 KIPS |
|
|
Text Classification (HP)
|
100% |
981
1.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1827
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
2793
48.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1113
19.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4381
88.0 IPS |
