SAMSUNG ELECTRONICS CO., LTD. 930QED
Geekbench AI Score
1832
Single Precision Score
759
Half Precision Score
2566
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 25 2024 08:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1240P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 930QED |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP930QED-KA1CA |
| Power Plan | SAMSUNG MODE |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1240P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1720
319.9 IPS |
|
|
Image Classification (HP)
|
100% |
371
69.0 IPS |
|
|
Image Classification (Q)
|
99% |
3129
583.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
895
14.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
543
8.80 IPS |
|
|
Image Segmentation (Q)
|
98% |
1357
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2881
3.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
1937
2.26 IPS |
|
|
Pose Estimation (Q)
|
94% |
7689
9.02 IPS |
|
|
Object Detection (SP)
|
100% |
1254
99.5 IPS |
|
|
Object Detection (HP)
|
100% |
350
27.7 IPS |
|
|
Object Detection (Q)
|
86% |
2128
171.0 IPS |
|
|
Face Detection (SP)
|
100% |
3443
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
908
10.8 IPS |
|
|
Face Detection (Q)
|
97% |
4008
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3474
26.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1043
8.04 IPS |
|
|
Depth Estimation (Q)
|
78% |
6368
50.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6208
7.98 IPS |
|
|
Style Transfer (HP)
|
100% |
4478
5.76 IPS |
|
|
Style Transfer (Q)
|
98% |
11401
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1224
45.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
864
31.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1798
66.6 IPS |
|
|
Text Classification (SP)
|
100% |
842
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
360
479.9 IPS |
|
|
Text Classification (Q)
|
97% |
290
388.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1006
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
356
6.13 IPS |
|
|
Machine Translation (Q)
|
65% |
1175
23.6 IPS |
