SAMSUNG ELECTRONICS CO., LTD. 960XHA
Geekbench AI Score
8327
Single Precision Score
21881
Half Precision Score
25038
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 02:41 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 130V GPU (8GB) (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 960XHA |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NT960XHA-KC51G |
| Power Plan | SAMSUNG MODE |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 226V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5843
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
12636
2.35 KIPS |
|
|
Image Classification (Q)
|
100% |
15957
2.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6484
105.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12475
202.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
13816
224.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
20186
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
109805
128.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
206801
242.1 IPS |
|
|
Object Detection (SP)
|
100% |
5269
417.9 IPS |
|
|
Object Detection (HP)
|
100% |
12863
1.02 KIPS |
|
|
Object Detection (Q)
|
88% |
14337
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
12046
143.1 IPS |
|
|
Face Detection (HP)
|
100% |
28191
335.0 IPS |
|
|
Face Detection (Q)
|
100% |
36002
427.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20006
154.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
48962
377.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
57007
443.3 IPS |
|
|
Style Transfer (SP)
|
100% |
43696
56.2 IPS |
|
|
Style Transfer (HP)
|
100% |
137295
176.5 IPS |
|
|
Style Transfer (Q)
|
98% |
150418
194.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8525
314.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27235
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31121
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3197
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4904
6.55 KIPS |
|
|
Text Classification (Q)
|
92% |
3624
4.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1387
23.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4466
76.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4256
73.3 IPS |
