Micro-Star International Co., Ltd. MS-7E33
Geekbench AI Score
5210
Single Precision Score
8349
Half Precision Score
12718
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | gbench |
| Upload Date | December 07 2024 01:49 PM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
3393
631.0 IPS |
|
|
Image Classification (HP)
|
100% |
5536
1.03 KIPS |
|
|
Image Classification (Q)
|
100% |
7573
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3703
60.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7803
126.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
11364
184.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11686
13.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
11160
13.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
33480
39.2 IPS |
|
|
Object Detection (SP)
|
100% |
3151
250.0 IPS |
|
|
Object Detection (HP)
|
100% |
5309
421.1 IPS |
|
|
Object Detection (Q)
|
88% |
8634
691.9 IPS |
|
|
Face Detection (SP)
|
100% |
7678
91.2 IPS |
|
|
Face Detection (HP)
|
100% |
14989
178.1 IPS |
|
|
Face Detection (Q)
|
100% |
23782
282.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11714
90.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
20536
158.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
24840
193.1 IPS |
|
|
Style Transfer (SP)
|
100% |
28061
36.1 IPS |
|
|
Style Transfer (HP)
|
100% |
40314
51.8 IPS |
|
|
Style Transfer (Q)
|
98% |
81994
105.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4802
177.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8387
309.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14612
541.1 IPS |
|
|
Text Classification (SP)
|
71% |
1475
2.13 KIPS |
|
|
Text Classification (HP)
|
71% |
2358
3.41 KIPS |
|
|
Text Classification (Q)
|
92% |
2598
3.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1784
30.7 IPS |
|
|
Machine Translation (HP)
|
96% |
2621
45.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2421
41.7 IPS |
