SAMSUNG ELECTRONICS CO., LTD. 960QFG
Geekbench AI Score
2153
Single Precision Score
967
Half Precision Score
2768
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 08:24 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1360P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 960QFG |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP960QFG-KA2UK |
| Power Plan | SAMSUNG MODE |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1360P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1347
250.5 IPS |
|
|
Image Classification (HP)
|
100% |
405
75.3 IPS |
|
|
Image Classification (Q)
|
99% |
2189
408.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1093
17.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
641
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1726
28.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4314
5.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
2688
3.14 IPS |
|
|
Pose Estimation (Q)
|
95% |
11928
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1255
99.6 IPS |
|
|
Object Detection (HP)
|
100% |
410
32.6 IPS |
|
|
Object Detection (Q)
|
88% |
1296
103.9 IPS |
|
|
Face Detection (SP)
|
100% |
2431
28.9 IPS |
|
|
Face Detection (HP)
|
100% |
1036
12.3 IPS |
|
|
Face Detection (Q)
|
97% |
3065
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4164
32.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1209
9.32 IPS |
|
|
Depth Estimation (Q)
|
77% |
5425
43.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8888
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
6460
8.30 IPS |
|
|
Style Transfer (Q)
|
98% |
15050
19.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1659
61.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1422
52.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2860
105.9 IPS |
|
|
Text Classification (SP)
|
100% |
1190
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
538
717.5 IPS |
|
|
Text Classification (Q)
|
97% |
454
608.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1512
26.0 IPS |
|
|
Machine Translation (HP)
|
100% |
406
6.99 IPS |
|
|
Machine Translation (Q)
|
60% |
1393
31.1 IPS |
