Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
8493
Single Precision Score
7070
Half Precision Score
15245
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 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 Home (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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5959
1.11 KIPS |
|
|
Image Classification (HP)
|
100% |
3443
640.3 IPS |
|
|
Image Classification (Q)
|
100% |
10205
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7547
122.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4301
69.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10555
171.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13709
16.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
11108
13.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
29373
34.4 IPS |
|
|
Object Detection (SP)
|
100% |
5251
416.5 IPS |
|
|
Object Detection (HP)
|
100% |
3804
301.7 IPS |
|
|
Object Detection (Q)
|
88% |
10730
860.1 IPS |
|
|
Face Detection (SP)
|
100% |
13142
156.2 IPS |
|
|
Face Detection (HP)
|
100% |
9463
112.4 IPS |
|
|
Face Detection (Q)
|
100% |
25945
308.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13356
102.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12449
95.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
31067
241.5 IPS |
|
|
Style Transfer (SP)
|
100% |
38454
49.4 IPS |
|
|
Style Transfer (HP)
|
100% |
40009
51.4 IPS |
|
|
Style Transfer (Q)
|
98% |
87902
113.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8468
312.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8771
323.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17282
640.0 IPS |
|
|
Text Classification (SP)
|
100% |
4129
5.51 KIPS |
|
|
Text Classification (HP)
|
100% |
3467
4.63 KIPS |
|
|
Text Classification (Q)
|
92% |
6407
8.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2558
44.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3483
60.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2547
43.9 IPS |
