Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
7574
Single Precision Score
2646
Half Precision Score
11021
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Surinder |
| Upload Date | May 08 2025 07:17 PM |
| 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. 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% |
5790
1.08 KIPS |
|
|
Image Classification (HP)
|
100% |
877
163.1 IPS |
|
|
Image Classification (Q)
|
99% |
9720
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2911
47.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1649
26.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4702
76.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16489
19.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
8735
10.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
54659
64.1 IPS |
|
|
Object Detection (SP)
|
100% |
5460
433.1 IPS |
|
|
Object Detection (HP)
|
100% |
1157
91.8 IPS |
|
|
Object Detection (Q)
|
86% |
12843
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
15399
183.0 IPS |
|
|
Face Detection (HP)
|
100% |
2770
32.9 IPS |
|
|
Face Detection (Q)
|
97% |
14661
174.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
17800
137.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3705
28.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
26986
215.3 IPS |
|
|
Style Transfer (SP)
|
100% |
36379
46.8 IPS |
|
|
Style Transfer (HP)
|
100% |
21477
27.6 IPS |
|
|
Style Transfer (Q)
|
98% |
30781
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5875
216.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3776
139.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7238
268.0 IPS |
|
|
Text Classification (SP)
|
100% |
2047
2.73 KIPS |
|
|
Text Classification (HP)
|
100% |
1072
1.43 KIPS |
|
|
Text Classification (Q)
|
97% |
1859
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3418
58.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1294
22.3 IPS |
|
|
Machine Translation (Q)
|
65% |
5031
101.1 IPS |
