SAMSUNG ELECTRONICS CO., LTD. 960XGL
Geekbench AI Score
3399
Single Precision Score
1436
Half Precision Score
6182
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Angus72 |
| Upload Date | January 28 2025 10:06 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 9 185H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 960XGL |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP960XGL-XG1IT |
| Power Plan | SAMSUNG MODE |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2571
478.2 IPS |
|
|
Image Classification (HP)
|
100% |
528
98.2 IPS |
|
|
Image Classification (Q)
|
99% |
5433
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1366
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
961
15.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3209
52.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5736
6.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
3930
4.59 IPS |
|
|
Pose Estimation (Q)
|
94% |
19790
23.2 IPS |
|
|
Object Detection (SP)
|
100% |
2361
187.3 IPS |
|
|
Object Detection (HP)
|
100% |
663
52.6 IPS |
|
|
Object Detection (Q)
|
86% |
5434
436.8 IPS |
|
|
Face Detection (SP)
|
100% |
6870
81.6 IPS |
|
|
Face Detection (HP)
|
100% |
1544
18.4 IPS |
|
|
Face Detection (Q)
|
97% |
8253
98.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7249
55.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1956
15.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
13476
107.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13347
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9358
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
20008
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2546
94.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1764
65.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4072
150.8 IPS |
|
|
Text Classification (SP)
|
100% |
1429
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
735
981.1 IPS |
|
|
Text Classification (Q)
|
97% |
1665
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1790
30.8 IPS |
|
|
Machine Translation (HP)
|
100% |
771
13.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2884
58.0 IPS |
