Micro-Star International Co., Ltd. MS-7E33
Geekbench AI Score
5999
Single Precision Score
2160
Half Precision Score
9410
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | edsinsi |
| Upload Date | January 10 2025 12:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E33 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z890I EDGE TI WIFI (MS-7E33) |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4897
910.7 IPS |
|
|
Image Classification (HP)
|
100% |
779
144.8 IPS |
|
|
Image Classification (Q)
|
99% |
8298
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2339
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1458
23.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3712
60.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12412
14.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
5392
6.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
43127
50.6 IPS |
|
|
Object Detection (SP)
|
100% |
4414
350.1 IPS |
|
|
Object Detection (HP)
|
100% |
1022
81.1 IPS |
|
|
Object Detection (Q)
|
86% |
9346
751.1 IPS |
|
|
Face Detection (SP)
|
100% |
10869
129.1 IPS |
|
|
Face Detection (HP)
|
100% |
1942
23.1 IPS |
|
|
Face Detection (Q)
|
97% |
12304
146.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12979
100.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3145
24.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
22824
182.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25721
33.1 IPS |
|
|
Style Transfer (HP)
|
100% |
16556
21.3 IPS |
|
|
Style Transfer (Q)
|
98% |
30123
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4684
173.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3249
120.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6525
241.6 IPS |
|
|
Text Classification (SP)
|
100% |
2008
2.68 KIPS |
|
|
Text Classification (HP)
|
100% |
983
1.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1775
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2819
48.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1098
18.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4478
90.0 IPS |
