SAMSUNG ELECTRONICS CO., LTD. 940XHA
Geekbench AI Score
10289
Single Precision Score
26044
Half Precision Score
29235
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 06 2025 08:04 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140V GPU (8GB) (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 940XHA |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP940XHA-LG2IN |
| Power Plan | SAMSUNG MODE |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 256V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5864
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
14394
2.68 KIPS |
|
|
Image Classification (Q)
|
100% |
17096
3.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9148
148.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
24447
396.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
27583
447.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
22491
26.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
119681
139.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
225362
263.8 IPS |
|
|
Object Detection (SP)
|
100% |
6123
485.6 IPS |
|
|
Object Detection (HP)
|
100% |
14577
1.16 KIPS |
|
|
Object Detection (Q)
|
88% |
15827
1.27 KIPS |
|
|
Face Detection (SP)
|
100% |
13096
155.6 IPS |
|
|
Face Detection (HP)
|
100% |
30843
366.5 IPS |
|
|
Face Detection (Q)
|
100% |
42022
499.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
21510
165.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
54627
420.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
64601
502.4 IPS |
|
|
Style Transfer (SP)
|
100% |
51595
66.3 IPS |
|
|
Style Transfer (HP)
|
100% |
146499
188.3 IPS |
|
|
Style Transfer (Q)
|
98% |
175300
226.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9573
353.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26040
961.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32025
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
4278
5.71 KIPS |
|
|
Text Classification (HP)
|
100% |
5414
7.23 KIPS |
|
|
Text Classification (Q)
|
92% |
3285
4.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3026
52.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6722
116.2 IPS |
|
|
Machine Translation (Q)
|
100% |
5417
93.3 IPS |
