Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
5558
Single Precision Score
8653
Half Precision Score
12945
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 03:20 PM |
| Views | 2 |
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-7E32 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z890-A WIFI (MS-7E32) |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3750
697.3 IPS |
|
|
Image Classification (HP)
|
100% |
5738
1.07 KIPS |
|
|
Image Classification (Q)
|
100% |
7637
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3533
57.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7931
128.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10773
174.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12064
14.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
11285
13.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
34954
40.9 IPS |
|
|
Object Detection (SP)
|
100% |
3487
276.6 IPS |
|
|
Object Detection (HP)
|
100% |
5448
432.1 IPS |
|
|
Object Detection (Q)
|
88% |
8586
688.0 IPS |
|
|
Face Detection (SP)
|
100% |
7376
87.6 IPS |
|
|
Face Detection (HP)
|
100% |
14662
174.2 IPS |
|
|
Face Detection (Q)
|
100% |
23561
280.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12468
96.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
21867
169.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
25118
195.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29523
38.0 IPS |
|
|
Style Transfer (HP)
|
100% |
41606
53.5 IPS |
|
|
Style Transfer (Q)
|
98% |
86387
111.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5231
193.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9285
342.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14528
538.0 IPS |
|
|
Text Classification (SP)
|
71% |
1772
2.56 KIPS |
|
|
Text Classification (HP)
|
71% |
2430
3.52 KIPS |
|
|
Text Classification (Q)
|
92% |
2582
3.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2009
34.6 IPS |
|
|
Machine Translation (HP)
|
96% |
2795
48.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2792
48.1 IPS |
