Samsung SAMSUNG ELECTRONICS CO., LTD. 960XFH
Geekbench AI Score
5154
Single Precision Score
6875
Half Precision Score
10636
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Wolfgang1756 |
| Upload Date | December 26 2024 02:04 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| 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% |
3208
596.6 IPS |
|
|
Image Classification (HP)
|
100% |
4713
876.6 IPS |
|
|
Image Classification (Q)
|
99% |
6418
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4813
78.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7416
120.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9791
158.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11484
13.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
8468
9.88 IPS |
|
|
Pose Estimation (Q)
|
97% |
35180
41.2 IPS |
|
|
Object Detection (SP)
|
100% |
2970
235.6 IPS |
|
|
Object Detection (HP)
|
100% |
4151
329.3 IPS |
|
|
Object Detection (Q)
|
90% |
6926
553.7 IPS |
|
|
Face Detection (SP)
|
100% |
8704
103.4 IPS |
|
|
Face Detection (HP)
|
100% |
12511
148.7 IPS |
|
|
Face Detection (Q)
|
100% |
18479
219.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10502
80.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
16955
131.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
21354
166.0 IPS |
|
|
Style Transfer (SP)
|
100% |
29779
38.3 IPS |
|
|
Style Transfer (HP)
|
100% |
43171
55.5 IPS |
|
|
Style Transfer (Q)
|
98% |
76808
99.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4728
174.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7621
281.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13790
510.7 IPS |
|
|
Text Classification (SP)
|
71% |
1350
1.95 KIPS |
|
|
Text Classification (HP)
|
71% |
1431
2.07 KIPS |
|
|
Text Classification (Q)
|
92% |
1477
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1447
24.9 IPS |
|
|
Machine Translation (HP)
|
96% |
1924
33.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1961
33.8 IPS |
