SAMSUNG ELECTRONICS CO., LTD. 940XGK
Geekbench AI Score
910
Single Precision Score
431
Half Precision Score
1691
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 25 2024 01:33 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 940XGK |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NT940XGK-K71AR |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
640
119.0 IPS |
|
|
Image Classification (HP)
|
100% |
140
26.1 IPS |
|
|
Image Classification (Q)
|
99% |
1449
270.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
424
6.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
297
4.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
767
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1362
1.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
1360
1.59 IPS |
|
|
Pose Estimation (Q)
|
94% |
5826
6.83 IPS |
|
|
Object Detection (SP)
|
100% |
496
39.3 IPS |
|
|
Object Detection (HP)
|
100% |
172
13.6 IPS |
|
|
Object Detection (Q)
|
86% |
1519
122.1 IPS |
|
|
Face Detection (SP)
|
100% |
2586
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
503
5.97 IPS |
|
|
Face Detection (Q)
|
97% |
1974
23.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1445
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
702
5.41 IPS |
|
|
Depth Estimation (Q)
|
78% |
3750
29.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4069
5.23 IPS |
|
|
Style Transfer (HP)
|
100% |
3308
4.25 IPS |
|
|
Style Transfer (Q)
|
98% |
6900
8.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
716
26.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
524
19.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
987
36.5 IPS |
|
|
Text Classification (SP)
|
100% |
381
509.2 IPS |
|
|
Text Classification (HP)
|
100% |
170
226.9 IPS |
|
|
Text Classification (Q)
|
97% |
582
779.9 IPS |
|
|
Machine Translation (SP)
|
100% |
516
8.89 IPS |
|
|
Machine Translation (HP)
|
100% |
222
3.82 IPS |
|
|
Machine Translation (Q)
|
65% |
664
13.3 IPS |
