OEMMN OEMMN Product Name DV
Geekbench AI Score
1349
Single Precision Score
14565
Half Precision Score
31832
Quantized Score
Geekbench AI 1.4.0 for Windows AArch64
Result Information
| Upload Date | August 20 2025 08:39 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X Elite - X1E78100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | OEMMN OEMMN Product Name DV |
| Motherboard | OEMMN OEMMN Product Name DV |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X Elite - X1E78100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 12 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
641
119.2 IPS |
|
|
Image Classification (HP)
|
100% |
9020
1.68 KIPS |
|
|
Image Classification (Q)
|
99% |
12095
2.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
563
9.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
7703
124.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
18913
307.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3812
4.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
70307
82.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
236450
277.2 IPS |
|
|
Object Detection (SP)
|
100% |
700
55.5 IPS |
|
|
Object Detection (HP)
|
100% |
9726
771.5 IPS |
|
|
Object Detection (Q)
|
92% |
16691
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
1377
16.4 IPS |
|
|
Face Detection (HP)
|
100% |
22382
265.9 IPS |
|
|
Face Detection (Q)
|
97% |
50209
598.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1672
12.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
39833
306.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
93522
746.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5823
7.49 IPS |
|
|
Style Transfer (HP)
|
100% |
53584
68.9 IPS |
|
|
Style Transfer (Q)
|
98% |
235089
303.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1078
39.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26589
981.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
55298
2.04 KIPS |
|
|
Text Classification (SP)
|
100% |
876
1.17 KIPS |
|
|
Text Classification (HP)
|
100% |
2041
2.72 KIPS |
|
|
Text Classification (Q)
|
95% |
3150
4.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1643
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3490
60.1 IPS |
|
|
Machine Translation (Q)
|
67% |
6155
119.8 IPS |
