T1LS Co., LTD. MS-7D01
Geekbench AI Score
895
Single Precision Score
1068
Half Precision Score
711
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 09:43 AM |
| Views | 22 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 630 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | T1LS Co., LTD. MS-7D01 |
| Motherboard | Micro-Star International Co., Ltd. H410M PRO-C (MS-7D01) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10500 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
366
68.1 IPS |
|
|
Image Classification (HP)
|
100% |
417
77.6 IPS |
|
|
Image Classification (Q)
|
100% |
355
66.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
571
9.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
680
11.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
479
7.79 IPS |
|
|
Pose Estimation (SP)
|
100% |
2313
2.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
3708
4.33 IPS |
|
|
Pose Estimation (Q)
|
97% |
2058
2.41 IPS |
|
|
Object Detection (SP)
|
100% |
453
36.0 IPS |
|
|
Object Detection (HP)
|
98% |
464
36.9 IPS |
|
|
Object Detection (Q)
|
89% |
414
33.1 IPS |
|
|
Face Detection (SP)
|
100% |
666
7.92 IPS |
|
|
Face Detection (HP)
|
100% |
908
10.8 IPS |
|
|
Face Detection (Q)
|
97% |
533
6.36 IPS |
|
|
Depth Estimation (SP)
|
100% |
1668
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2067
16.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
1419
11.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5973
7.68 IPS |
|
|
Style Transfer (HP)
|
100% |
8906
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
4939
6.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1190
43.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1679
62.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
907
33.6 IPS |
|
|
Text Classification (SP)
|
100% |
495
660.8 IPS |
|
|
Text Classification (HP)
|
100% |
319
425.6 IPS |
|
|
Text Classification (Q)
|
97% |
301
402.7 IPS |
|
|
Machine Translation (SP)
|
100% |
387
6.67 IPS |
|
|
Machine Translation (HP)
|
100% |
444
7.64 IPS |
|
|
Machine Translation (Q)
|
60% |
224
5.00 IPS |
