SAMSUNG ELECTRONICS CO., LTD. 960XFH
Geekbench AI Score
9189
Single Precision Score
17509
Half Precision Score
8401
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 20 2024 03:54 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| 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% |
1544
287.2 IPS |
|
|
Image Classification (HP)
|
99% |
5285
985.8 IPS |
|
|
Image Classification (Q)
|
100% |
4442
826.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7627
123.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9387
152.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
6274
102.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
44543
52.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
158396
184.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
53809
63.0 IPS |
|
|
Object Detection (SP)
|
100% |
5147
408.3 IPS |
|
|
Object Detection (HP)
|
100% |
9841
780.6 IPS |
|
|
Object Detection (Q)
|
88% |
4733
379.5 IPS |
|
|
Face Detection (SP)
|
100% |
11545
137.2 IPS |
|
|
Face Detection (HP)
|
100% |
18134
215.5 IPS |
|
|
Face Detection (Q)
|
97% |
9928
118.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
27772
214.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
50327
387.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
19751
158.7 IPS |
|
|
Style Transfer (SP)
|
100% |
81691
105.0 IPS |
|
|
Style Transfer (HP)
|
100% |
206657
265.7 IPS |
|
|
Style Transfer (Q)
|
98% |
85125
109.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21802
805.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33099
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14040
519.9 IPS |
|
|
Text Classification (SP)
|
100% |
1359
1.81 KIPS |
|
|
Text Classification (HP)
|
99% |
2979
3.98 KIPS |
|
|
Text Classification (Q)
|
97% |
1151
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2049
35.3 IPS |
|
|
Machine Translation (HP)
|
98% |
1883
32.5 IPS |
|
|
Machine Translation (Q)
|
60% |
915
20.4 IPS |
