Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
9980
Single Precision Score
10762
Half Precision Score
16998
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Surinder |
| Upload Date | May 08 2025 06:55 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| 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 | Balanced |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6486
1.21 KIPS |
|
|
Image Classification (HP)
|
100% |
7287
1.36 KIPS |
|
|
Image Classification (Q)
|
100% |
10951
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8575
139.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5019
81.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10935
177.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15154
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
15682
18.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
33552
39.3 IPS |
|
|
Object Detection (SP)
|
100% |
6242
495.1 IPS |
|
|
Object Detection (HP)
|
100% |
7663
607.9 IPS |
|
|
Object Detection (Q)
|
88% |
11879
952.2 IPS |
|
|
Face Detection (SP)
|
100% |
17177
204.1 IPS |
|
|
Face Detection (HP)
|
100% |
21741
258.3 IPS |
|
|
Face Detection (Q)
|
100% |
30471
362.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
15504
119.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
19056
146.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
32960
256.3 IPS |
|
|
Style Transfer (SP)
|
100% |
43265
55.6 IPS |
|
|
Style Transfer (HP)
|
100% |
43909
56.4 IPS |
|
|
Style Transfer (Q)
|
98% |
94881
122.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9251
341.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9449
348.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17960
665.1 IPS |
|
|
Text Classification (SP)
|
100% |
4370
5.83 KIPS |
|
|
Text Classification (HP)
|
100% |
3377
4.51 KIPS |
|
|
Text Classification (Q)
|
92% |
6044
8.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
4003
69.0 IPS |
|
|
Machine Translation (HP)
|
100% |
8170
140.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4079
70.3 IPS |
