SAMSUNG ELECTRONICS CO., LTD. 960XGL
Geekbench AI Score
15997
Single Precision Score
27375
Half Precision Score
12938
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Angus72 |
| Upload Date | January 28 2025 10:23 PM |
| 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-XG1IT |
| 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% |
6884
1.28 KIPS |
|
|
Image Classification (HP)
|
99% |
11925
2.22 KIPS |
|
|
Image Classification (Q)
|
100% |
6368
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11279
182.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15155
245.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
10385
168.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
73158
85.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
225260
262.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
69350
81.3 IPS |
|
|
Object Detection (SP)
|
100% |
7860
623.4 IPS |
|
|
Object Detection (HP)
|
100% |
13556
1.08 KIPS |
|
|
Object Detection (Q)
|
85% |
7002
563.7 IPS |
|
|
Face Detection (SP)
|
100% |
19718
234.3 IPS |
|
|
Face Detection (HP)
|
100% |
31731
377.0 IPS |
|
|
Face Detection (Q)
|
97% |
17673
210.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
36301
279.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
76244
587.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
29913
239.1 IPS |
|
|
Style Transfer (SP)
|
100% |
140547
180.7 IPS |
|
|
Style Transfer (HP)
|
100% |
362278
465.7 IPS |
|
|
Style Transfer (Q)
|
98% |
138422
178.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27853
1.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42614
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20350
753.6 IPS |
|
|
Text Classification (SP)
|
100% |
2636
3.52 KIPS |
|
|
Text Classification (HP)
|
99% |
3294
4.40 KIPS |
|
|
Text Classification (Q)
|
97% |
1598
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3329
57.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3482
60.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1720
32.3 IPS |
