SAMSUNG ELECTRONICS CO., LTD. 960XHA
Geekbench AI Score
2069
Single Precision Score
633
Half Precision Score
3362
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | December 29 2024 12:24 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 228V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 960XHA |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NT960XHA-K52AG |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 228V |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1236
229.9 IPS |
|
|
Image Classification (HP)
|
100% |
136
25.4 IPS |
|
|
Image Classification (Q)
|
99% |
2346
437.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1132
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
242
3.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
2088
33.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2877
3.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
2429
2.83 IPS |
|
|
Pose Estimation (Q)
|
95% |
10602
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
1346
106.8 IPS |
|
|
Object Detection (HP)
|
100% |
192
15.3 IPS |
|
|
Object Detection (Q)
|
88% |
1394
111.8 IPS |
|
|
Face Detection (SP)
|
100% |
2994
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
294
3.49 IPS |
|
|
Face Detection (Q)
|
97% |
3465
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3802
29.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
832
6.41 IPS |
|
|
Depth Estimation (Q)
|
76% |
5999
48.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7329
9.42 IPS |
|
|
Style Transfer (HP)
|
100% |
6006
7.72 IPS |
|
|
Style Transfer (Q)
|
98% |
15279
19.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1555
57.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1303
48.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3150
116.6 IPS |
|
|
Text Classification (SP)
|
100% |
1147
1.53 KIPS |
|
|
Text Classification (HP)
|
100% |
563
751.2 IPS |
|
|
Text Classification (Q)
|
97% |
1355
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
1786
30.8 IPS |
|
|
Machine Translation (HP)
|
100% |
625
10.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1881
42.0 IPS |
