Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
6285
Single Precision Score
2411
Half Precision Score
7825
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 21 2024 04:12 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| System Information | |
|---|---|
| Operating System | 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) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3370
626.7 IPS |
|
|
Image Classification (HP)
|
100% |
802
149.2 IPS |
|
|
Image Classification (Q)
|
99% |
5743
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2813
45.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1597
25.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4636
75.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17445
20.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
8628
10.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
55189
64.7 IPS |
|
|
Object Detection (SP)
|
100% |
3995
316.9 IPS |
|
|
Object Detection (HP)
|
100% |
1050
83.3 IPS |
|
|
Object Detection (Q)
|
88% |
3331
267.0 IPS |
|
|
Face Detection (SP)
|
100% |
6634
78.8 IPS |
|
|
Face Detection (HP)
|
100% |
2434
28.9 IPS |
|
|
Face Detection (Q)
|
97% |
6471
77.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
14642
112.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3546
27.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
13837
110.8 IPS |
|
|
Style Transfer (SP)
|
100% |
38526
49.5 IPS |
|
|
Style Transfer (HP)
|
100% |
21803
28.0 IPS |
|
|
Style Transfer (Q)
|
98% |
34105
44.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6075
224.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3886
143.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7565
280.1 IPS |
|
|
Text Classification (SP)
|
100% |
1996
2.66 KIPS |
|
|
Text Classification (HP)
|
100% |
829
1.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1953
2.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3213
55.3 IPS |
|
|
Machine Translation (HP)
|
100% |
946
16.3 IPS |
|
|
Machine Translation (Q)
|
60% |
3902
87.0 IPS |
