SAMSUNG ELECTRONICS CO., LTD. 960QGK
Geekbench AI Score
2683
Single Precision Score
1150
Half Precision Score
3438
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 17 2024 05:01 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 960QGK |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP960QGK-KG1IT |
| Power Plan | SAMSUNG MODE |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1512
281.2 IPS |
|
|
Image Classification (HP)
|
100% |
407
75.6 IPS |
|
|
Image Classification (Q)
|
99% |
2916
544.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1242
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
796
12.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2412
39.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5203
6.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
2968
3.46 IPS |
|
|
Pose Estimation (Q)
|
95% |
18833
22.1 IPS |
|
|
Object Detection (SP)
|
100% |
1743
138.3 IPS |
|
|
Object Detection (HP)
|
100% |
520
41.2 IPS |
|
|
Object Detection (Q)
|
88% |
1570
125.8 IPS |
|
|
Face Detection (SP)
|
100% |
3202
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
1280
15.2 IPS |
|
|
Face Detection (Q)
|
97% |
3352
40.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5926
45.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1617
12.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
6437
51.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12228
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8520
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
17516
22.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2328
86.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1608
59.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3440
127.4 IPS |
|
|
Text Classification (SP)
|
100% |
1310
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
534
713.1 IPS |
|
|
Text Classification (Q)
|
97% |
496
664.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1604
27.6 IPS |
|
|
Machine Translation (HP)
|
100% |
539
9.28 IPS |
|
|
Machine Translation (Q)
|
60% |
1723
38.4 IPS |
