SAMSUNG ELECTRONICS CO., LTD. 950XGK
Geekbench AI Score
4598
Single Precision Score
6846
Half Precision Score
3327
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | leonardo_stefanato |
| Upload Date | August 09 2025 08:07 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 950XGK |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP950XGK-KA1IT |
| Power Plan | SAMSUNG MODE |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2097
390.0 IPS |
|
|
Image Classification (HP)
|
100% |
3372
627.1 IPS |
|
|
Image Classification (Q)
|
100% |
1802
335.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3270
53.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7955
129.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2745
44.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14196
16.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
20276
23.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12360
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
2508
198.9 IPS |
|
|
Object Detection (HP)
|
99% |
4305
342.4 IPS |
|
|
Object Detection (Q)
|
86% |
2057
165.4 IPS |
|
|
Face Detection (SP)
|
100% |
5008
59.5 IPS |
|
|
Face Detection (HP)
|
100% |
8122
96.5 IPS |
|
|
Face Detection (Q)
|
97% |
3859
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9978
76.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
19671
152.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
8178
65.7 IPS |
|
|
Style Transfer (SP)
|
100% |
44424
57.1 IPS |
|
|
Style Transfer (HP)
|
100% |
68982
88.7 IPS |
|
|
Style Transfer (Q)
|
98% |
32037
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6400
236.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9483
350.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3785
140.2 IPS |
|
|
Text Classification (SP)
|
86% |
673
910.9 IPS |
|
|
Text Classification (HP)
|
99% |
464
619.3 IPS |
|
|
Text Classification (Q)
|
84% |
367
498.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1812
31.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1994
34.3 IPS |
|
|
Machine Translation (Q)
|
70% |
942
17.7 IPS |
