SAMSUNG ELECTRONICS CO., LTD. 730QDA
Geekbench AI Score
929
Single Precision Score
510
Half Precision Score
2071
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | timix |
| Upload Date | August 06 2025 08:45 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1165G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 730QDA |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP730QDA-KA1US |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1165G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
815
151.5 IPS |
|
|
Image Classification (HP)
|
100% |
266
49.4 IPS |
|
|
Image Classification (Q)
|
99% |
2417
450.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
598
9.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
356
5.76 IPS |
|
|
Image Segmentation (Q)
|
98% |
1362
22.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
842
0.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
863
1.01 IPS |
|
|
Pose Estimation (Q)
|
94% |
2657
3.12 IPS |
|
|
Object Detection (SP)
|
100% |
414
32.8 IPS |
|
|
Object Detection (HP)
|
100% |
218
17.3 IPS |
|
|
Object Detection (Q)
|
86% |
1830
147.1 IPS |
|
|
Face Detection (SP)
|
100% |
1915
22.7 IPS |
|
|
Face Detection (HP)
|
100% |
613
7.28 IPS |
|
|
Face Detection (Q)
|
97% |
3298
39.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1389
10.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
685
5.28 IPS |
|
|
Depth Estimation (Q)
|
78% |
5477
43.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2698
3.47 IPS |
|
|
Style Transfer (HP)
|
100% |
2066
2.66 IPS |
|
|
Style Transfer (Q)
|
98% |
7413
9.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
698
25.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
602
22.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2276
84.3 IPS |
|
|
Text Classification (SP)
|
100% |
781
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
404
538.9 IPS |
|
|
Text Classification (Q)
|
97% |
224
300.6 IPS |
|
|
Machine Translation (SP)
|
100% |
722
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
319
5.50 IPS |
|
|
Machine Translation (Q)
|
65% |
1329
26.7 IPS |
