Micro-Star International Co., Ltd. MS-7E22
Geekbench AI Score
9138
Single Precision Score
2305
Half Precision Score
3378
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 24 2024 09:34 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E22 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z890 ACE (MS-7E22) |
| Power Plan | Prestazioni eccellenti |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6289
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
1630
303.1 IPS |
|
|
Image Classification (Q)
|
56% |
1531
428.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7028
113.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
638
10.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
847
13.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
16749
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
7279
8.49 IPS |
|
|
Pose Estimation (Q)
|
96% |
15973
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
5972
473.7 IPS |
|
|
Object Detection (HP)
|
100% |
1375
109.1 IPS |
|
|
Object Detection (Q)
|
87% |
2307
185.2 IPS |
|
|
Face Detection (SP)
|
100% |
17502
208.0 IPS |
|
|
Face Detection (HP)
|
100% |
3880
46.1 IPS |
|
|
Face Detection (Q)
|
100% |
6688
79.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
16770
129.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4540
35.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
8513
66.2 IPS |
|
|
Style Transfer (SP)
|
100% |
47999
61.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12652
16.3 IPS |
|
|
Style Transfer (Q)
|
98% |
22998
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9818
362.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3148
116.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5243
194.2 IPS |
|
|
Text Classification (SP)
|
100% |
1807
2.41 KIPS |
|
|
Text Classification (HP)
|
100% |
578
771.1 IPS |
|
|
Text Classification (Q)
|
92% |
582
782.5 IPS |
|
|
Machine Translation (SP)
|
100% |
3675
63.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1005
17.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1014
17.5 IPS |
