SAMSUNG ELECTRONICS CO., LTD. 730QFG
Geekbench AI Score
10887
Single Precision Score
16491
Half Precision Score
8184
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | ks5z |
| Upload Date | March 22 2026 02:37 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 730QFG |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP730QFG-KA1US |
| 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% |
3945
733.7 IPS |
|
|
Image Classification (HP)
|
100% |
5493
1.02 KIPS |
|
|
Image Classification (Q)
|
99% |
3216
599.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6037
97.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7445
120.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5315
86.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
74356
86.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
183648
214.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
61576
72.1 IPS |
|
|
Object Detection (SP)
|
100% |
5076
402.6 IPS |
|
|
Object Detection (HP)
|
100% |
7542
598.3 IPS |
|
|
Object Detection (Q)
|
84% |
4343
350.3 IPS |
|
|
Face Detection (SP)
|
100% |
11854
140.9 IPS |
|
|
Face Detection (HP)
|
100% |
17085
203.0 IPS |
|
|
Face Detection (Q)
|
97% |
10248
122.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
33494
258.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
53656
413.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
23408
187.5 IPS |
|
|
Style Transfer (SP)
|
100% |
123457
158.7 IPS |
|
|
Style Transfer (HP)
|
100% |
251412
323.2 IPS |
|
|
Style Transfer (Q)
|
98% |
102915
132.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20606
760.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28642
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12765
472.7 IPS |
|
|
Text Classification (SP)
|
100% |
1407
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
2089
2.79 KIPS |
|
|
Text Classification (Q)
|
97% |
984
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1832
31.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1905
32.8 IPS |
|
|
Machine Translation (Q)
|
70% |
951
17.8 IPS |
