SAMSUNG ELECTRONICS CO., LTD. 960XGL
Geekbench AI Score
12320
Single Precision Score
22801
Half Precision Score
9995
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 21 2025 06:35 AM |
| Views | 4 |
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-XG2HK |
| 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% |
4230
786.6 IPS |
|
|
Image Classification (HP)
|
99% |
9253
1.73 KIPS |
|
|
Image Classification (Q)
|
100% |
4834
899.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
10722
173.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15132
245.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
9634
156.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
52840
61.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
174703
203.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
42681
50.0 IPS |
|
|
Object Detection (SP)
|
100% |
5600
444.2 IPS |
|
|
Object Detection (HP)
|
100% |
11237
891.4 IPS |
|
|
Object Detection (Q)
|
85% |
4781
384.9 IPS |
|
|
Face Detection (SP)
|
100% |
14722
174.9 IPS |
|
|
Face Detection (HP)
|
100% |
23929
284.3 IPS |
|
|
Face Detection (Q)
|
97% |
13466
160.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
26408
203.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
58335
449.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
24453
195.4 IPS |
|
|
Style Transfer (SP)
|
100% |
91898
118.1 IPS |
|
|
Style Transfer (HP)
|
100% |
327977
421.6 IPS |
|
|
Style Transfer (Q)
|
98% |
85506
110.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23980
885.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31599
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17008
629.8 IPS |
|
|
Text Classification (SP)
|
100% |
2129
2.84 KIPS |
|
|
Text Classification (HP)
|
99% |
2829
3.78 KIPS |
|
|
Text Classification (Q)
|
97% |
1345
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3291
56.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3377
58.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1627
30.5 IPS |
