SAMSUNG ELECTRONICS CO., LTD. 960QFG
Geekbench AI Score
1919
Single Precision Score
479
Half Precision Score
2394
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Quiltermatt |
| Upload Date | August 24 2024 08:38 AM |
| Views | 9 |
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-KA3UK |
| 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% |
1326
246.6 IPS |
|
|
Image Classification (HP)
|
100% |
107
20.0 IPS |
|
|
Image Classification (Q)
|
99% |
2230
416.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
830
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
190
3.09 IPS |
|
|
Image Segmentation (Q)
|
98% |
1731
28.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3646
4.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
2550
2.98 IPS |
|
|
Pose Estimation (Q)
|
95% |
11335
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1360
107.9 IPS |
|
|
Object Detection (HP)
|
100% |
140
11.1 IPS |
|
|
Object Detection (Q)
|
88% |
1160
93.0 IPS |
|
|
Face Detection (SP)
|
100% |
2428
28.9 IPS |
|
|
Face Detection (HP)
|
100% |
205
2.44 IPS |
|
|
Face Detection (Q)
|
97% |
2353
28.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3835
29.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
633
4.88 IPS |
|
|
Depth Estimation (Q)
|
76% |
5523
44.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8217
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
5853
7.52 IPS |
|
|
Style Transfer (Q)
|
98% |
12293
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1468
54.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1072
39.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2331
86.3 IPS |
|
|
Text Classification (SP)
|
100% |
1131
1.51 KIPS |
|
|
Text Classification (HP)
|
100% |
285
381.0 IPS |
|
|
Text Classification (Q)
|
97% |
256
343.5 IPS |
|
|
Machine Translation (SP)
|
100% |
982
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
380
6.55 IPS |
|
|
Machine Translation (Q)
|
60% |
1281
28.6 IPS |
