SAMSUNG ELECTRONICS CO., LTD. 960QHA
Geekbench AI Score
6756
Single Precision Score
11026
Half Precision Score
4619
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 07:00 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 960QHA |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP960QHA-MSL |
| 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% |
3571
664.1 IPS |
|
|
Image Classification (HP)
|
100% |
4236
787.8 IPS |
|
|
Image Classification (Q)
|
100% |
3108
577.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
6501
105.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12435
201.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4897
79.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
20726
24.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
80953
94.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
17317
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
4471
354.6 IPS |
|
|
Object Detection (HP)
|
100% |
6963
552.3 IPS |
|
|
Object Detection (Q)
|
89% |
3346
267.8 IPS |
|
|
Face Detection (SP)
|
100% |
8300
98.6 IPS |
|
|
Face Detection (HP)
|
100% |
13821
164.2 IPS |
|
|
Face Detection (Q)
|
97% |
5712
68.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
18444
142.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
34902
268.9 IPS |
|
|
Depth Estimation (Q)
|
75% |
11330
91.4 IPS |
|
|
Style Transfer (SP)
|
100% |
47250
60.7 IPS |
|
|
Style Transfer (HP)
|
100% |
84198
108.2 IPS |
|
|
Style Transfer (Q)
|
98% |
37465
48.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8255
304.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9618
355.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5086
188.3 IPS |
|
|
Text Classification (SP)
|
100% |
1034
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
1208
1.61 KIPS |
|
|
Text Classification (Q)
|
97% |
586
784.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1492
25.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1896
32.7 IPS |
|
|
Machine Translation (Q)
|
60% |
695
15.5 IPS |
