Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
6962
Single Precision Score
2474
Half Precision Score
10774
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 01 2025 08:39 AM |
| Views | 4 |
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. PRO Z890-A WIFI (MS-7E32) |
| Power Plan | Ausbalanciert |
| 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% |
5227
972.1 IPS |
|
|
Image Classification (HP)
|
100% |
852
158.5 IPS |
|
|
Image Classification (Q)
|
99% |
9999
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2972
48.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1544
25.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4993
81.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15458
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
8188
9.55 IPS |
|
|
Pose Estimation (Q)
|
94% |
49804
58.4 IPS |
|
|
Object Detection (SP)
|
100% |
5003
396.8 IPS |
|
|
Object Detection (HP)
|
100% |
1116
88.5 IPS |
|
|
Object Detection (Q)
|
86% |
12500
1.00 KIPS |
|
|
Face Detection (SP)
|
100% |
14500
172.3 IPS |
|
|
Face Detection (HP)
|
100% |
2700
32.1 IPS |
|
|
Face Detection (Q)
|
97% |
14422
172.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16269
125.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3526
27.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
25429
202.9 IPS |
|
|
Style Transfer (SP)
|
100% |
33367
42.9 IPS |
|
|
Style Transfer (HP)
|
100% |
20302
26.1 IPS |
|
|
Style Transfer (Q)
|
98% |
36412
47.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4404
162.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3558
131.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6900
255.5 IPS |
|
|
Text Classification (SP)
|
100% |
2004
2.67 KIPS |
|
|
Text Classification (HP)
|
100% |
1027
1.37 KIPS |
|
|
Text Classification (Q)
|
97% |
1827
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3206
55.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1015
17.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4030
81.0 IPS |
