SAMSUNG ELECTRONICS CO., LTD. 960XFH
Geekbench AI Score
3255
Single Precision Score
1223
Half Precision Score
5689
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ryo4ever |
| Upload Date | May 31 2025 02:37 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 960XFH |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP960XFH-XA3US |
| Power Plan | SAMSUNG MODE |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2404
447.0 IPS |
|
|
Image Classification (HP)
|
100% |
448
83.3 IPS |
|
|
Image Classification (Q)
|
99% |
4631
863.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1479
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
909
14.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3019
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5431
6.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
3085
3.60 IPS |
|
|
Pose Estimation (Q)
|
94% |
18173
21.3 IPS |
|
|
Object Detection (SP)
|
100% |
2344
185.9 IPS |
|
|
Object Detection (HP)
|
100% |
597
47.4 IPS |
|
|
Object Detection (Q)
|
86% |
4735
380.6 IPS |
|
|
Face Detection (SP)
|
100% |
6392
76.0 IPS |
|
|
Face Detection (HP)
|
100% |
1328
15.8 IPS |
|
|
Face Detection (Q)
|
97% |
7989
95.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6784
52.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1720
13.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
11117
88.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12993
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
7428
9.55 IPS |
|
|
Style Transfer (Q)
|
98% |
23391
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2542
93.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1524
56.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3723
137.9 IPS |
|
|
Text Classification (SP)
|
100% |
1308
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
647
863.9 IPS |
|
|
Text Classification (Q)
|
97% |
1614
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1576
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
599
10.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2367
47.6 IPS |
