Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
7037
Single Precision Score
2469
Half Precision Score
10180
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Surinder |
| Upload Date | November 08 2025 11:07 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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 | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core 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 | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5484
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
829
154.2 IPS |
|
|
Image Classification (Q)
|
99% |
9426
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2651
43.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1491
24.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4543
73.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16175
18.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
8018
9.36 IPS |
|
|
Pose Estimation (Q)
|
94% |
41098
48.2 IPS |
|
|
Object Detection (SP)
|
100% |
5228
414.7 IPS |
|
|
Object Detection (HP)
|
100% |
1063
84.3 IPS |
|
|
Object Detection (Q)
|
86% |
12272
986.3 IPS |
|
|
Face Detection (SP)
|
100% |
14133
167.9 IPS |
|
|
Face Detection (HP)
|
100% |
2663
31.6 IPS |
|
|
Face Detection (Q)
|
97% |
13992
166.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
15563
119.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3463
26.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
25009
199.6 IPS |
|
|
Style Transfer (SP)
|
100% |
31506
40.5 IPS |
|
|
Style Transfer (HP)
|
100% |
20564
26.4 IPS |
|
|
Style Transfer (Q)
|
98% |
27113
35.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5717
211.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3548
131.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6950
257.4 IPS |
|
|
Text Classification (SP)
|
100% |
1949
2.60 KIPS |
|
|
Text Classification (HP)
|
100% |
988
1.32 KIPS |
|
|
Text Classification (Q)
|
97% |
1711
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3138
54.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1203
20.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4908
98.6 IPS |
