SAMSUNG ELECTRONICS CO., LTD. 960XGL
Geekbench AI Score
11496
Single Precision Score
21705
Half Precision Score
9232
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 27 2024 11:27 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 960XGL |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NT960XGL-X92AG |
| 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% |
4762
885.6 IPS |
|
|
Image Classification (HP)
|
99% |
8840
1.65 KIPS |
|
|
Image Classification (Q)
|
100% |
4380
814.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7998
129.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13502
218.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
9050
147.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
44228
51.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
154364
180.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
39517
46.3 IPS |
|
|
Object Detection (SP)
|
100% |
5094
404.0 IPS |
|
|
Object Detection (HP)
|
100% |
10813
857.7 IPS |
|
|
Object Detection (Q)
|
88% |
4184
335.5 IPS |
|
|
Face Detection (SP)
|
100% |
11725
139.3 IPS |
|
|
Face Detection (HP)
|
100% |
21917
260.4 IPS |
|
|
Face Detection (Q)
|
97% |
9858
117.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
23799
183.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
57075
439.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
19001
152.6 IPS |
|
|
Style Transfer (SP)
|
100% |
92182
118.5 IPS |
|
|
Style Transfer (HP)
|
100% |
256870
330.2 IPS |
|
|
Style Transfer (Q)
|
98% |
101273
130.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22943
847.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34760
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17713
655.9 IPS |
|
|
Text Classification (SP)
|
100% |
2656
3.55 KIPS |
|
|
Text Classification (HP)
|
99% |
3267
4.36 KIPS |
|
|
Text Classification (Q)
|
97% |
1536
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2998
51.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3193
55.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1330
29.7 IPS |
