Micro-Star International Co., Ltd. MS-7E33
Geekbench AI Score
8169
Single Precision Score
6595
Half Precision Score
15810
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | gbench |
| Upload Date | December 07 2024 01:44 PM |
| Views | 18 |
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-7E33 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z890I EDGE TI WIFI (MS-7E33) |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5457
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
2904
540.1 IPS |
|
|
Image Classification (Q)
|
100% |
10070
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6762
109.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3884
63.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10372
168.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12181
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12387
14.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
31893
37.4 IPS |
|
|
Object Detection (SP)
|
100% |
4878
386.9 IPS |
|
|
Object Detection (HP)
|
100% |
3380
268.1 IPS |
|
|
Object Detection (Q)
|
88% |
10876
871.8 IPS |
|
|
Face Detection (SP)
|
100% |
14721
174.9 IPS |
|
|
Face Detection (HP)
|
100% |
8697
103.3 IPS |
|
|
Face Detection (Q)
|
100% |
28049
333.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13485
103.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
11645
89.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
31308
243.4 IPS |
|
|
Style Transfer (SP)
|
100% |
36180
46.5 IPS |
|
|
Style Transfer (HP)
|
100% |
34735
44.7 IPS |
|
|
Style Transfer (Q)
|
98% |
87547
112.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7169
264.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7567
279.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16798
622.1 IPS |
|
|
Text Classification (SP)
|
100% |
3799
5.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3320
4.43 KIPS |
|
|
Text Classification (Q)
|
92% |
6392
8.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3088
53.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3731
64.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3263
56.2 IPS |
