SAMSUNG ELECTRONICS CO., LTD. 960XHA
Geekbench AI Score
7974
Single Precision Score
14918
Half Precision Score
5203
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 22 2025 02:27 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 960XHA |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP960XHA-KG3US |
| Power Plan | SAMSUNG MODE |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3388
630.0 IPS |
|
|
Image Classification (HP)
|
100% |
3885
722.5 IPS |
|
|
Image Classification (Q)
|
100% |
2548
473.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6161
99.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
12692
205.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4561
74.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
22312
26.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
93580
109.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
17646
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
5135
407.3 IPS |
|
|
Object Detection (HP)
|
100% |
8686
689.0 IPS |
|
|
Object Detection (Q)
|
88% |
4208
337.5 IPS |
|
|
Face Detection (SP)
|
100% |
9477
112.6 IPS |
|
|
Face Detection (HP)
|
100% |
16217
192.7 IPS |
|
|
Face Detection (Q)
|
97% |
6861
81.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
18156
139.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
43291
333.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
12632
100.9 IPS |
|
|
Style Transfer (SP)
|
100% |
54675
70.3 IPS |
|
|
Style Transfer (HP)
|
100% |
182484
234.6 IPS |
|
|
Style Transfer (Q)
|
98% |
38912
50.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10057
371.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17670
652.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5351
198.1 IPS |
|
|
Text Classification (SP)
|
100% |
1353
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
1678
2.24 KIPS |
|
|
Text Classification (Q)
|
97% |
757
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3399
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3586
61.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1234
23.1 IPS |
