Micro-Star International Co., Ltd. MS-7E40
Geekbench AI Score
3809
Single Precision Score
5207
Half Precision Score
2618
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 11:22 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E40 |
| Motherboard | Micro-Star International Co., Ltd. MAG B860M MORTAR WIFI (MS-7E40) |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 245K |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2348
436.7 IPS |
|
|
Image Classification (HP)
|
100% |
3013
560.3 IPS |
|
|
Image Classification (Q)
|
99% |
1692
315.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1901
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4934
80.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1542
25.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9497
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
15573
18.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
8250
9.67 IPS |
|
|
Object Detection (SP)
|
100% |
2624
208.1 IPS |
|
|
Object Detection (HP)
|
99% |
3146
250.3 IPS |
|
|
Object Detection (Q)
|
89% |
1835
146.9 IPS |
|
|
Face Detection (SP)
|
100% |
4576
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
5118
60.8 IPS |
|
|
Face Detection (Q)
|
97% |
2933
35.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7896
60.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
13091
101.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
5750
46.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24367
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37081
47.7 IPS |
|
|
Style Transfer (Q)
|
98% |
19822
25.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4473
165.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7025
259.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3060
113.3 IPS |
|
|
Text Classification (SP)
|
86% |
755
1.02 KIPS |
|
|
Text Classification (HP)
|
99% |
625
834.4 IPS |
|
|
Text Classification (Q)
|
83% |
503
684.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1945
33.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1845
31.8 IPS |
|
|
Machine Translation (Q)
|
60% |
745
16.6 IPS |
