SAMSUNG ELECTRONICS CO., LTD. 930QDB
Geekbench AI Score
508
Single Precision Score
251
Half Precision Score
1180
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 03 2025 07:30 AM |
| Views | 6 |
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. 930QDB |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP930QDB-KE1US |
| Power Plan | SAMSUNG MODE |
| 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% |
957
178.0 IPS |
|
|
Image Classification (HP)
|
100% |
123
22.9 IPS |
|
|
Image Classification (Q)
|
99% |
1677
312.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
315
5.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
235
3.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
1996
32.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
714
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
548
0.64 IPS |
|
|
Pose Estimation (Q)
|
94% |
2261
2.65 IPS |
|
|
Object Detection (SP)
|
100% |
289
23.0 IPS |
|
|
Object Detection (HP)
|
100% |
109
8.64 IPS |
|
|
Object Detection (Q)
|
86% |
798
64.1 IPS |
|
|
Face Detection (SP)
|
100% |
799
9.50 IPS |
|
|
Face Detection (HP)
|
100% |
231
2.74 IPS |
|
|
Face Detection (Q)
|
97% |
1555
18.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
803
6.18 IPS |
|
|
Depth Estimation (HP)
|
99% |
302
2.33 IPS |
|
|
Depth Estimation (Q)
|
78% |
1374
11.0 IPS |
|
|
Style Transfer (SP)
|
100% |
1258
1.62 IPS |
|
|
Style Transfer (HP)
|
100% |
1168
1.50 IPS |
|
|
Style Transfer (Q)
|
98% |
3631
4.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
277
10.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
370
13.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
837
31.0 IPS |
|
|
Text Classification (SP)
|
100% |
230
307.5 IPS |
|
|
Text Classification (HP)
|
100% |
137
182.4 IPS |
|
|
Text Classification (Q)
|
97% |
244
326.9 IPS |
|
|
Machine Translation (SP)
|
100% |
360
6.21 IPS |
|
|
Machine Translation (HP)
|
100% |
143
2.47 IPS |
|
|
Machine Translation (Q)
|
65% |
550
11.0 IPS |
