Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
9442
Single Precision Score
9358
Half Precision Score
16660
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 25 2025 12:05 PM |
| Views | 2 |
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 | 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% |
6084
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
6600
1.23 KIPS |
|
|
Image Classification (Q)
|
100% |
10808
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8495
137.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4628
75.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
13367
216.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
14333
16.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
13769
16.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
29880
35.0 IPS |
|
|
Object Detection (SP)
|
100% |
5846
463.7 IPS |
|
|
Object Detection (HP)
|
100% |
7273
576.9 IPS |
|
|
Object Detection (Q)
|
88% |
11802
946.0 IPS |
|
|
Face Detection (SP)
|
100% |
16466
195.7 IPS |
|
|
Face Detection (HP)
|
100% |
19773
234.9 IPS |
|
|
Face Detection (Q)
|
100% |
28989
344.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13282
102.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
11834
91.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
31460
244.6 IPS |
|
|
Style Transfer (SP)
|
100% |
40499
52.1 IPS |
|
|
Style Transfer (HP)
|
100% |
31869
41.0 IPS |
|
|
Style Transfer (Q)
|
98% |
88216
113.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8309
306.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8945
330.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17552
650.0 IPS |
|
|
Text Classification (SP)
|
100% |
4309
5.75 KIPS |
|
|
Text Classification (HP)
|
100% |
3357
4.48 KIPS |
|
|
Text Classification (Q)
|
92% |
6030
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
4104
70.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7524
129.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3798
65.4 IPS |
