SAMSUNG ELECTRONICS CO., LTD. 960XGL
Geekbench AI Score
2428
Single Precision Score
2482
Half Precision Score
5774
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 21 2025 06:40 AM |
| Views | 2 |
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-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% |
1083
201.5 IPS |
|
|
Image Classification (HP)
|
100% |
1147
213.3 IPS |
|
|
Image Classification (Q)
|
100% |
2985
555.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2109
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2182
35.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4154
67.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3401
3.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
3489
4.07 IPS |
|
|
Pose Estimation (Q)
|
96% |
14530
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1043
82.7 IPS |
|
|
Object Detection (HP)
|
100% |
1305
103.5 IPS |
|
|
Object Detection (Q)
|
88% |
3349
268.5 IPS |
|
|
Face Detection (SP)
|
100% |
4661
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
4332
51.5 IPS |
|
|
Face Detection (Q)
|
100% |
8108
96.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4336
33.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4158
32.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
9674
75.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11584
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
11915
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
35984
46.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1801
66.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1926
71.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6081
225.2 IPS |
|
|
Text Classification (SP)
|
100% |
1439
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
1351
1.80 KIPS |
|
|
Text Classification (Q)
|
92% |
2783
3.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1451
25.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1396
24.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1430
24.6 IPS |
