Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
8753
Single Precision Score
8782
Half Precision Score
16072
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 21 2024 04:15 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
6321
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
6330
1.18 KIPS |
|
|
Image Classification (Q)
|
100% |
10497
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6746
109.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6850
111.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9933
161.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15587
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
15560
18.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
34461
40.4 IPS |
|
|
Object Detection (SP)
|
100% |
5797
459.8 IPS |
|
|
Object Detection (HP)
|
100% |
5790
459.3 IPS |
|
|
Object Detection (Q)
|
88% |
11255
902.2 IPS |
|
|
Face Detection (SP)
|
100% |
16408
195.0 IPS |
|
|
Face Detection (HP)
|
100% |
16285
193.5 IPS |
|
|
Face Detection (Q)
|
100% |
29840
354.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
15764
121.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
15755
121.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
31005
241.1 IPS |
|
|
Style Transfer (SP)
|
100% |
44147
56.8 IPS |
|
|
Style Transfer (HP)
|
100% |
44239
56.9 IPS |
|
|
Style Transfer (Q)
|
98% |
96761
124.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9340
344.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9363
345.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17709
655.8 IPS |
|
|
Text Classification (SP)
|
100% |
1739
2.32 KIPS |
|
|
Text Classification (HP)
|
100% |
1802
2.40 KIPS |
|
|
Text Classification (Q)
|
92% |
4879
6.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3698
63.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3651
62.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3677
63.3 IPS |
