GPD G1668-01
Geekbench AI Score
4538
Single Precision Score
1894
Half Precision Score
8384
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 06 2026 08:09 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 366H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | GPD G1668-01 |
| Motherboard | GPD G1668-01 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 366H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 204 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3281
610.2 IPS |
|
|
Image Classification (HP)
|
100% |
519
96.4 IPS |
|
|
Image Classification (Q)
|
99% |
6450
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2090
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
886
14.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
10875
176.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8737
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
5852
6.83 IPS |
|
|
Pose Estimation (Q)
|
94% |
29162
34.2 IPS |
|
|
Object Detection (SP)
|
100% |
3453
273.9 IPS |
|
|
Object Detection (HP)
|
100% |
889
70.5 IPS |
|
|
Object Detection (Q)
|
86% |
7643
614.3 IPS |
|
|
Face Detection (SP)
|
100% |
10098
120.0 IPS |
|
|
Face Detection (HP)
|
100% |
2016
23.9 IPS |
|
|
Face Detection (Q)
|
97% |
9756
116.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10622
81.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2859
22.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
18501
147.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20741
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
15949
20.5 IPS |
|
|
Style Transfer (Q)
|
98% |
28342
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2875
106.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2722
100.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5792
214.5 IPS |
|
|
Text Classification (SP)
|
100% |
1250
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
803
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1080
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
2240
38.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1239
21.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3433
69.0 IPS |
