SAMSUNG ELECTRONICS CO., LTD. 960QHA
Geekbench AI Score
10405
Single Precision Score
24268
Half Precision Score
26814
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 10 2025 03:36 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140V GPU (8GB) (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 960QHA |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NT960QHA-KC71G |
| 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% |
7190
1.34 KIPS |
|
|
Image Classification (HP)
|
100% |
12213
2.27 KIPS |
|
|
Image Classification (Q)
|
100% |
14078
2.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9370
151.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22873
370.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
27306
442.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
22561
26.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
131392
153.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
252462
295.6 IPS |
|
|
Object Detection (SP)
|
100% |
6567
520.9 IPS |
|
|
Object Detection (HP)
|
100% |
13740
1.09 KIPS |
|
|
Object Detection (Q)
|
88% |
13618
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
13164
156.4 IPS |
|
|
Face Detection (HP)
|
100% |
27134
322.4 IPS |
|
|
Face Detection (Q)
|
100% |
33912
402.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
23895
184.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
56233
433.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
62171
483.5 IPS |
|
|
Style Transfer (SP)
|
100% |
51829
66.6 IPS |
|
|
Style Transfer (HP)
|
100% |
157043
201.9 IPS |
|
|
Style Transfer (Q)
|
98% |
176527
227.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9758
360.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25842
954.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26213
970.8 IPS |
|
|
Text Classification (SP)
|
100% |
3123
4.17 KIPS |
|
|
Text Classification (HP)
|
100% |
4574
6.11 KIPS |
|
|
Text Classification (Q)
|
92% |
2813
3.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3000
51.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4962
85.5 IPS |
|
|
Machine Translation (Q)
|
100% |
5298
91.3 IPS |
