GPD G1668-01
Geekbench AI Score
4321
Single Precision Score
37133
Half Precision Score
55266
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 06 2026 08:20 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
2766
514.4 IPS |
|
|
Image Classification (HP)
|
100% |
22648
4.21 KIPS |
|
|
Image Classification (Q)
|
100% |
28612
5.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3292
53.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14875
241.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
22462
365.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5484
6.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
119141
139.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
271802
318.6 IPS |
|
|
Object Detection (SP)
|
100% |
2341
185.7 IPS |
|
|
Object Detection (HP)
|
100% |
23836
1.89 KIPS |
|
|
Object Detection (Q)
|
87% |
31680
2.54 KIPS |
|
|
Face Detection (SP)
|
100% |
7535
89.5 IPS |
|
|
Face Detection (HP)
|
100% |
56763
674.5 IPS |
|
|
Face Detection (Q)
|
100% |
80849
960.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6806
52.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
94702
729.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
178997
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
15452
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
244730
314.6 IPS |
|
|
Style Transfer (Q)
|
98% |
394043
508.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3203
118.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
61603
2.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
114775
4.25 KIPS |
|
|
Text Classification (SP)
|
100% |
3019
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
4308
5.75 KIPS |
|
|
Text Classification (Q)
|
92% |
4904
6.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2535
43.7 IPS |
|
|
Machine Translation (HP)
|
100% |
14923
257.1 IPS |
|
|
Machine Translation (Q)
|
100% |
14967
257.8 IPS |
