Samsung SAMSUNG ELECTRONICS CO., LTD. 960XFH
Geekbench AI Score
2525
Single Precision Score
1042
Half Precision Score
3590
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Wolfgang1756 |
| Upload Date | December 26 2024 01:05 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 960XFH |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP960XFH-XA3US |
| Power Plan | Balanced |
| 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% |
1456
270.9 IPS |
|
|
Image Classification (HP)
|
100% |
368
68.5 IPS |
|
|
Image Classification (Q)
|
99% |
2667
497.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1375
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
740
12.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2171
35.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4789
5.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
3063
3.57 IPS |
|
|
Pose Estimation (Q)
|
95% |
15747
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
1632
129.5 IPS |
|
|
Object Detection (HP)
|
100% |
458
36.4 IPS |
|
|
Object Detection (Q)
|
88% |
1499
120.2 IPS |
|
|
Face Detection (SP)
|
100% |
3012
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
1148
13.6 IPS |
|
|
Face Detection (Q)
|
97% |
3352
40.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5497
42.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1297
10.00 IPS |
|
|
Depth Estimation (Q)
|
77% |
6368
51.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10942
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
7725
9.93 IPS |
|
|
Style Transfer (Q)
|
98% |
18210
23.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2128
78.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1464
54.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3142
116.3 IPS |
|
|
Text Classification (SP)
|
100% |
1248
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
507
677.4 IPS |
|
|
Text Classification (Q)
|
97% |
1320
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1402
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
464
7.99 IPS |
|
|
Machine Translation (Q)
|
60% |
1615
36.0 IPS |
