SAMSUNG ELECTRONICS CO., LTD. 960XFH
Geekbench AI Score
2200
Single Precision Score
975
Half Precision Score
2892
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 20 2024 03:49 AM |
| Views | 2 |
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% |
1300
241.8 IPS |
|
|
Image Classification (HP)
|
100% |
326
60.5 IPS |
|
|
Image Classification (Q)
|
99% |
2113
394.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1192
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
563
9.13 IPS |
|
|
Image Segmentation (Q)
|
98% |
1950
31.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3745
4.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
2617
3.05 IPS |
|
|
Pose Estimation (Q)
|
95% |
12862
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1396
110.7 IPS |
|
|
Object Detection (HP)
|
100% |
457
36.3 IPS |
|
|
Object Detection (Q)
|
88% |
1340
107.4 IPS |
|
|
Face Detection (SP)
|
100% |
2845
33.8 IPS |
|
|
Face Detection (HP)
|
100% |
1142
13.6 IPS |
|
|
Face Detection (Q)
|
97% |
3240
38.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4619
35.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1439
11.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
6111
48.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9747
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
6678
8.59 IPS |
|
|
Style Transfer (Q)
|
98% |
15978
20.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1770
65.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1339
49.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2876
106.5 IPS |
|
|
Text Classification (SP)
|
100% |
1094
1.46 KIPS |
|
|
Text Classification (HP)
|
100% |
508
677.7 IPS |
|
|
Text Classification (Q)
|
97% |
404
540.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1322
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
475
8.19 IPS |
|
|
Machine Translation (Q)
|
60% |
1568
35.0 IPS |
