Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
8865
Single Precision Score
7343
Half Precision Score
10827
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 11:16 AM |
| 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% |
6003
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
5626
1.05 KIPS |
|
|
Image Classification (Q)
|
56% |
5015
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7575
122.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2289
37.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3224
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14406
16.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
31725
37.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
64920
76.0 IPS |
|
|
Object Detection (SP)
|
100% |
5200
412.5 IPS |
|
|
Object Detection (HP)
|
100% |
4557
361.5 IPS |
|
|
Object Detection (Q)
|
87% |
7875
632.0 IPS |
|
|
Face Detection (SP)
|
100% |
13767
163.6 IPS |
|
|
Face Detection (HP)
|
100% |
10444
124.1 IPS |
|
|
Face Detection (Q)
|
100% |
18563
220.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
14122
108.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
12072
93.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
23959
186.4 IPS |
|
|
Style Transfer (SP)
|
100% |
42224
54.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37533
48.2 IPS |
|
|
Style Transfer (Q)
|
98% |
68969
88.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9065
334.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12111
447.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19180
710.3 IPS |
|
|
Text Classification (SP)
|
100% |
4191
5.59 KIPS |
|
|
Text Classification (HP)
|
100% |
1713
2.29 KIPS |
|
|
Text Classification (Q)
|
92% |
1885
2.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2823
48.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2494
43.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2415
41.6 IPS |
