SAMSUNG ELECTRONICS CO., LTD. 960XGL
Geekbench AI Score
3102
Single Precision Score
3146
Half Precision Score
7424
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 04 2025 01:55 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 185H |
| 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% |
1706
317.2 IPS |
|
|
Image Classification (HP)
|
100% |
1595
296.6 IPS |
|
|
Image Classification (Q)
|
100% |
4774
887.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2301
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2348
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4949
80.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4451
5.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
4467
5.21 IPS |
|
|
Pose Estimation (Q)
|
96% |
15617
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
1577
125.1 IPS |
|
|
Object Detection (HP)
|
100% |
1713
135.9 IPS |
|
|
Object Detection (Q)
|
88% |
5038
403.9 IPS |
|
|
Face Detection (SP)
|
100% |
5277
62.7 IPS |
|
|
Face Detection (HP)
|
100% |
5278
62.7 IPS |
|
|
Face Detection (Q)
|
100% |
10989
130.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4952
38.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4899
37.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
12423
96.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13258
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13056
16.8 IPS |
|
|
Style Transfer (Q)
|
98% |
38344
49.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2220
82.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2316
85.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7769
287.7 IPS |
|
|
Text Classification (SP)
|
100% |
1780
2.38 KIPS |
|
|
Text Classification (HP)
|
100% |
2015
2.69 KIPS |
|
|
Text Classification (Q)
|
92% |
3216
4.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2189
37.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2105
36.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2093
36.1 IPS |
