Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
5768
Single Precision Score
8810
Half Precision Score
12310
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | opensourceeverywhere |
| Upload Date | December 05 2024 06:40 PM |
| Views | 9 |
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-7E32 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z890 TOMAHAWK WIFI (MS-7E32) |
| Power Plan | Ausbalanciert |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4116
765.5 IPS |
|
|
Image Classification (HP)
|
100% |
6161
1.15 KIPS |
|
|
Image Classification (Q)
|
56% |
5451
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4087
66.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2688
43.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3117
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8309
9.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
33602
39.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
71719
84.0 IPS |
|
|
Object Detection (SP)
|
100% |
3900
309.3 IPS |
|
|
Object Detection (HP)
|
100% |
5164
409.6 IPS |
|
|
Object Detection (Q)
|
87% |
7557
606.5 IPS |
|
|
Face Detection (SP)
|
100% |
12804
152.1 IPS |
|
|
Face Detection (HP)
|
100% |
14561
173.0 IPS |
|
|
Face Detection (Q)
|
100% |
23810
282.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10551
81.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17837
137.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
32470
252.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25138
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
53128
68.3 IPS |
|
|
Style Transfer (Q)
|
98% |
94026
121.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5242
193.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12493
461.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21248
786.9 IPS |
|
|
Text Classification (SP)
|
100% |
1568
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
2032
2.71 KIPS |
|
|
Text Classification (Q)
|
92% |
2037
2.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
2680
46.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2799
48.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2760
47.5 IPS |
