SAMSUNG ELECTRONICS CO., LTD. 960XHA
Geekbench AI Score
6679
Single Precision Score
11559
Half Precision Score
4146
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | December 29 2024 12:30 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 130V GPU (16GB) |
| 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% |
3831
712.5 IPS |
|
|
Image Classification (HP)
|
100% |
3366
625.9 IPS |
|
|
Image Classification (Q)
|
100% |
2192
407.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6149
99.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
10798
175.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4560
74.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16966
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
81536
95.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
13992
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
3979
315.6 IPS |
|
|
Object Detection (HP)
|
100% |
5504
436.6 IPS |
|
|
Object Detection (Q)
|
89% |
2984
238.8 IPS |
|
|
Face Detection (SP)
|
100% |
7668
91.1 IPS |
|
|
Face Detection (HP)
|
100% |
12756
151.6 IPS |
|
|
Face Detection (Q)
|
97% |
4991
59.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
15814
121.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
31823
245.2 IPS |
|
|
Depth Estimation (Q)
|
74% |
10356
84.4 IPS |
|
|
Style Transfer (SP)
|
100% |
41928
53.9 IPS |
|
|
Style Transfer (HP)
|
100% |
146106
187.8 IPS |
|
|
Style Transfer (Q)
|
98% |
32545
42.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6786
250.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13976
516.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4351
161.1 IPS |
|
|
Text Classification (SP)
|
100% |
1102
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
1337
1.79 KIPS |
|
|
Text Classification (Q)
|
97% |
599
802.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2922
50.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2356
40.6 IPS |
|
|
Machine Translation (Q)
|
60% |
821
18.3 IPS |
