SAMSUNG ELECTRONICS CO., LTD. 960XGL
Geekbench AI Score
8600
Single Precision Score
14012
Half Precision Score
21103
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 04 2025 01:59 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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% |
6188
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
9095
1.69 KIPS |
|
|
Image Classification (Q)
|
100% |
10752
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5206
84.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
13576
220.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
20252
328.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
22940
26.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
23141
27.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
81759
95.7 IPS |
|
|
Object Detection (SP)
|
100% |
5779
458.4 IPS |
|
|
Object Detection (HP)
|
100% |
9637
764.4 IPS |
|
|
Object Detection (Q)
|
88% |
13835
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
10373
123.3 IPS |
|
|
Face Detection (HP)
|
100% |
21773
258.7 IPS |
|
|
Face Detection (Q)
|
100% |
35137
417.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
20226
155.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
34786
268.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
43137
335.3 IPS |
|
|
Style Transfer (SP)
|
100% |
57884
74.4 IPS |
|
|
Style Transfer (HP)
|
100% |
74192
95.4 IPS |
|
|
Style Transfer (Q)
|
98% |
182044
234.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9070
334.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16085
593.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23166
857.9 IPS |
|
|
Text Classification (SP)
|
71% |
1719
2.49 KIPS |
|
|
Text Classification (HP)
|
71% |
2784
4.03 KIPS |
|
|
Text Classification (Q)
|
92% |
2693
3.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2738
47.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4212
72.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4132
71.4 IPS |
