SAMSUNG ELECTRONICS CO., LTD. 940XGK
Geekbench AI Score
3791
Single Precision Score
3911
Half Precision Score
2814
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ricnecro |
| Upload Date | February 12 2025 06:01 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| 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% |
1762
327.6 IPS |
|
|
Image Classification (HP)
|
100% |
1805
335.6 IPS |
|
|
Image Classification (Q)
|
100% |
1498
278.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2743
44.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3074
49.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2293
37.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14203
16.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15293
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11212
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
2040
161.8 IPS |
|
|
Object Detection (HP)
|
98% |
1914
152.3 IPS |
|
|
Object Detection (Q)
|
86% |
1667
134.0 IPS |
|
|
Face Detection (SP)
|
100% |
4082
48.5 IPS |
|
|
Face Detection (HP)
|
100% |
4779
56.8 IPS |
|
|
Face Detection (Q)
|
97% |
3169
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7724
59.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
8107
62.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
5976
48.0 IPS |
|
|
Style Transfer (SP)
|
100% |
34929
44.9 IPS |
|
|
Style Transfer (HP)
|
100% |
40994
52.7 IPS |
|
|
Style Transfer (Q)
|
98% |
26493
34.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5104
188.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6011
222.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3079
114.0 IPS |
|
|
Text Classification (SP)
|
86% |
646
874.1 IPS |
|
|
Text Classification (HP)
|
99% |
459
613.0 IPS |
|
|
Text Classification (Q)
|
84% |
494
670.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1208
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1179
20.3 IPS |
|
|
Machine Translation (Q)
|
70% |
637
12.0 IPS |
