Samsung SAMSUNG ELECTRONICS CO., LTD. 960XFH
Geekbench AI Score
3303
Single Precision Score
3195
Half Precision Score
8112
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Wolfgang1756 |
| Upload Date | December 26 2024 01:56 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) 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% |
2450
455.7 IPS |
|
|
Image Classification (HP)
|
100% |
2153
400.3 IPS |
|
|
Image Classification (Q)
|
100% |
5583
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2761
44.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2776
45.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5235
84.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4353
5.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
4173
4.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
9994
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1354
107.4 IPS |
|
|
Object Detection (HP)
|
100% |
1387
110.0 IPS |
|
|
Object Detection (Q)
|
88% |
5358
429.5 IPS |
|
|
Face Detection (SP)
|
100% |
4051
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
4150
49.3 IPS |
|
|
Face Detection (Q)
|
100% |
13091
155.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5385
41.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
5561
42.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
14343
111.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12395
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12521
16.1 IPS |
|
|
Style Transfer (Q)
|
98% |
42742
55.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2608
96.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2621
96.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8452
313.0 IPS |
|
|
Text Classification (SP)
|
100% |
1677
2.24 KIPS |
|
|
Text Classification (HP)
|
100% |
1660
2.22 KIPS |
|
|
Text Classification (Q)
|
92% |
3573
4.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3279
56.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2549
43.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3257
56.1 IPS |
