SAMSUNG ELECTRONICS CO., LTD. 940XGK
Geekbench AI Score
6967
Single Precision Score
10395
Half Precision Score
14628
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ricnecro |
| Upload Date | February 12 2025 06:06 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 940XGK |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP940XGK-KG2BR |
| Power Plan | SAMSUNG MODE |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4812
894.8 IPS |
|
|
Image Classification (HP)
|
100% |
6462
1.20 KIPS |
|
|
Image Classification (Q)
|
100% |
6885
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4777
77.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
10501
170.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
13274
215.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17489
20.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
15261
17.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
48475
56.8 IPS |
|
|
Object Detection (SP)
|
100% |
4621
366.6 IPS |
|
|
Object Detection (HP)
|
100% |
7140
566.4 IPS |
|
|
Object Detection (Q)
|
88% |
9798
785.2 IPS |
|
|
Face Detection (SP)
|
100% |
9561
113.6 IPS |
|
|
Face Detection (HP)
|
100% |
18677
221.9 IPS |
|
|
Face Detection (Q)
|
100% |
27841
330.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
16584
127.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
28257
218.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
29305
227.8 IPS |
|
|
Style Transfer (SP)
|
100% |
42663
54.8 IPS |
|
|
Style Transfer (HP)
|
100% |
55013
70.7 IPS |
|
|
Style Transfer (Q)
|
98% |
117924
152.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7340
271.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12110
447.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16534
612.3 IPS |
|
|
Text Classification (SP)
|
71% |
1359
1.97 KIPS |
|
|
Text Classification (HP)
|
71% |
2058
2.98 KIPS |
|
|
Text Classification (Q)
|
92% |
2292
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2150
37.0 IPS |
|
|
Machine Translation (HP)
|
96% |
2756
47.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2836
48.9 IPS |
