Micro-Star International Co., Ltd. MS-7E22
Geekbench AI Score
10938
Single Precision Score
10573
Half Precision Score
16282
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | DavidAR |
| Upload Date | April 05 2025 03:40 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 | Ultimate Performance |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6847
1.27 KIPS |
|
|
Image Classification (HP)
|
100% |
7641
1.42 KIPS |
|
|
Image Classification (Q)
|
100% |
10694
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9703
157.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3013
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4001
64.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
17030
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
35076
40.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
76349
89.4 IPS |
|
|
Object Detection (SP)
|
100% |
6841
542.6 IPS |
|
|
Object Detection (HP)
|
100% |
6468
513.1 IPS |
|
|
Object Detection (Q)
|
87% |
10679
857.1 IPS |
|
|
Face Detection (SP)
|
100% |
19090
226.8 IPS |
|
|
Face Detection (HP)
|
100% |
18157
215.7 IPS |
|
|
Face Detection (Q)
|
100% |
33718
400.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16994
130.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
19353
149.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
36375
283.0 IPS |
|
|
Style Transfer (SP)
|
100% |
49239
63.3 IPS |
|
|
Style Transfer (HP)
|
100% |
53648
69.0 IPS |
|
|
Style Transfer (Q)
|
98% |
100265
129.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10164
375.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14910
550.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25219
933.9 IPS |
|
|
Text Classification (SP)
|
100% |
4438
5.92 KIPS |
|
|
Text Classification (HP)
|
100% |
2367
3.16 KIPS |
|
|
Text Classification (Q)
|
92% |
2377
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
4396
75.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5026
86.6 IPS |
|
|
Machine Translation (Q)
|
100% |
5092
87.7 IPS |
