Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
8799
Single Precision Score
7513
Half Precision Score
11065
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 12:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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) |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5965
1.11 KIPS |
|
|
Image Classification (HP)
|
100% |
5922
1.10 KIPS |
|
|
Image Classification (Q)
|
56% |
5784
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7548
122.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2576
41.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3401
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
14070
16.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
32347
37.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
67993
79.6 IPS |
|
|
Object Detection (SP)
|
100% |
5265
417.6 IPS |
|
|
Object Detection (HP)
|
100% |
4846
384.4 IPS |
|
|
Object Detection (Q)
|
87% |
8133
652.7 IPS |
|
|
Face Detection (SP)
|
100% |
13837
164.4 IPS |
|
|
Face Detection (HP)
|
100% |
10800
128.3 IPS |
|
|
Face Detection (Q)
|
100% |
19334
229.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13658
105.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
12113
93.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
24158
188.0 IPS |
|
|
Style Transfer (SP)
|
100% |
42546
54.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37746
48.5 IPS |
|
|
Style Transfer (Q)
|
98% |
68675
88.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8940
330.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11265
416.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18700
692.5 IPS |
|
|
Text Classification (SP)
|
100% |
4356
5.81 KIPS |
|
|
Text Classification (HP)
|
100% |
1675
2.24 KIPS |
|
|
Text Classification (Q)
|
92% |
1685
2.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2665
45.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2574
44.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2503
43.1 IPS |
