SAMSUNG ELECTRONICS CO., LTD. 960QHA
Geekbench AI Score
7167
Single Precision Score
13497
Half Precision Score
4798
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | cfgauss1777 |
| Upload Date | May 17 2025 06:26 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (8GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 960QHA |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP960QHA-KG2DE |
| Power Plan | SAMSUNG MODE |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 256V |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3526
655.7 IPS |
|
|
Image Classification (HP)
|
100% |
4964
923.1 IPS |
|
|
Image Classification (Q)
|
100% |
2402
446.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6822
110.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13301
215.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4877
79.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
21214
24.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
105705
123.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
17306
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
4634
367.6 IPS |
|
|
Object Detection (HP)
|
100% |
6852
543.5 IPS |
|
|
Object Detection (Q)
|
88% |
3527
282.8 IPS |
|
|
Face Detection (SP)
|
100% |
9094
108.1 IPS |
|
|
Face Detection (HP)
|
100% |
17710
210.4 IPS |
|
|
Face Detection (Q)
|
97% |
6971
83.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
19512
150.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
39146
301.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
12848
102.7 IPS |
|
|
Style Transfer (SP)
|
100% |
47763
61.4 IPS |
|
|
Style Transfer (HP)
|
100% |
155221
199.5 IPS |
|
|
Style Transfer (Q)
|
98% |
34806
44.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7861
290.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17138
632.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4693
173.8 IPS |
|
|
Text Classification (SP)
|
100% |
804
1.07 KIPS |
|
|
Text Classification (HP)
|
100% |
918
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
554
741.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2826
48.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2478
42.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1117
21.0 IPS |
