SAMSUNG ELECTRONICS CO., LTD. 960XGL
Geekbench AI Score
2484
Single Precision Score
8198
Half Precision Score
12619
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 21 2025 06:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
1016
188.9 IPS |
|
|
Image Classification (HP)
|
100% |
4708
875.6 IPS |
|
|
Image Classification (Q)
|
100% |
7193
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2341
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2446
39.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3076
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3487
4.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
30213
35.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
65232
76.4 IPS |
|
|
Object Detection (SP)
|
100% |
1164
92.3 IPS |
|
|
Object Detection (HP)
|
100% |
5175
410.5 IPS |
|
|
Object Detection (Q)
|
88% |
8701
697.5 IPS |
|
|
Face Detection (SP)
|
100% |
4032
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
14973
177.9 IPS |
|
|
Face Detection (Q)
|
100% |
24405
290.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4267
32.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
17219
132.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
31077
241.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11495
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
49832
64.1 IPS |
|
|
Style Transfer (Q)
|
98% |
88597
114.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1958
72.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12812
473.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24847
920.2 IPS |
|
|
Text Classification (SP)
|
100% |
1438
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
1310
1.75 KIPS |
|
|
Text Classification (Q)
|
92% |
1388
1.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
1666
28.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3535
60.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3520
60.6 IPS |
