SAMSUNG ELECTRONICS CO., LTD. 960QHA
Geekbench AI Score
9757
Single Precision Score
23631
Half Precision Score
27154
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 07:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) (iGPU) |
| 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% |
6096
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
11996
2.23 KIPS |
|
|
Image Classification (Q)
|
100% |
14854
2.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8583
139.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19709
319.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
22301
361.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
21771
25.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
129407
151.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
242089
283.4 IPS |
|
|
Object Detection (SP)
|
100% |
6108
484.5 IPS |
|
|
Object Detection (HP)
|
100% |
12198
967.5 IPS |
|
|
Object Detection (Q)
|
88% |
12331
988.2 IPS |
|
|
Face Detection (SP)
|
100% |
13975
166.1 IPS |
|
|
Face Detection (HP)
|
100% |
30503
362.4 IPS |
|
|
Face Detection (Q)
|
100% |
38126
453.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
23799
183.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
50592
389.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
56525
439.6 IPS |
|
|
Style Transfer (SP)
|
100% |
49416
63.5 IPS |
|
|
Style Transfer (HP)
|
100% |
154071
198.1 IPS |
|
|
Style Transfer (Q)
|
98% |
176185
227.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9487
350.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25838
954.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27165
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2632
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4885
6.52 KIPS |
|
|
Text Classification (Q)
|
92% |
4484
6.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2739
47.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4850
83.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4766
82.1 IPS |
