SAMSUNG ELECTRONICS CO., LTD. 960XHA
Geekbench AI Score
2576
Single Precision Score
18933
Half Precision Score
26612
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 11:56 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
1616
300.5 IPS |
|
|
Image Classification (HP)
|
100% |
11814
2.20 KIPS |
|
|
Image Classification (Q)
|
100% |
17438
3.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1780
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9699
157.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10895
176.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2870
3.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
68606
80.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
161922
189.7 IPS |
|
|
Object Detection (SP)
|
100% |
1522
120.7 IPS |
|
|
Object Detection (HP)
|
100% |
13491
1.07 KIPS |
|
|
Object Detection (Q)
|
87% |
18172
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
4472
53.1 IPS |
|
|
Face Detection (HP)
|
100% |
23398
278.0 IPS |
|
|
Face Detection (Q)
|
100% |
38797
461.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3973
30.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
59418
457.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
94216
733.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8534
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
180130
231.6 IPS |
|
|
Style Transfer (Q)
|
98% |
268412
346.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1779
65.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28876
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44077
1.63 KIPS |
|
|
Text Classification (SP)
|
100% |
1866
2.49 KIPS |
|
|
Text Classification (HP)
|
100% |
2775
3.70 KIPS |
|
|
Text Classification (Q)
|
92% |
2550
3.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2038
35.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2782
47.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2890
49.8 IPS |
