SAMSUNG ELECTRONICS CO., LTD. 960XGL
Geekbench AI Score
18177
Single Precision Score
30177
Half Precision Score
14280
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 04 2025 01:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 960XGL |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP960XGL-XG1BR |
| Power Plan | SAMSUNG MODE |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7296
1.36 KIPS |
|
|
Image Classification (HP)
|
99% |
11494
2.14 KIPS |
|
|
Image Classification (Q)
|
100% |
6884
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13555
219.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18269
296.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
12374
201.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
87078
101.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
266076
310.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
77827
91.2 IPS |
|
|
Object Detection (SP)
|
100% |
8771
695.7 IPS |
|
|
Object Detection (HP)
|
100% |
14595
1.16 KIPS |
|
|
Object Detection (Q)
|
85% |
7800
627.9 IPS |
|
|
Face Detection (SP)
|
100% |
22804
271.0 IPS |
|
|
Face Detection (HP)
|
100% |
35803
425.4 IPS |
|
|
Face Detection (Q)
|
97% |
19854
236.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
45403
349.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
85505
658.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
35821
286.3 IPS |
|
|
Style Transfer (SP)
|
100% |
154342
198.4 IPS |
|
|
Style Transfer (HP)
|
100% |
391966
503.9 IPS |
|
|
Style Transfer (Q)
|
98% |
139876
180.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30452
1.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46126
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21941
812.4 IPS |
|
|
Text Classification (SP)
|
100% |
2753
3.67 KIPS |
|
|
Text Classification (HP)
|
99% |
3377
4.51 KIPS |
|
|
Text Classification (Q)
|
97% |
1686
2.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3893
67.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4109
71.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1854
34.8 IPS |
