GPD G1668-01
Geekbench AI Score
4561
Single Precision Score
4067
Half Precision Score
8893
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 06 2026 08:11 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
2648
492.4 IPS |
|
|
Image Classification (HP)
|
100% |
3007
559.2 IPS |
|
|
Image Classification (Q)
|
100% |
5292
984.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3287
53.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1575
25.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
5033
81.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5502
6.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
4901
5.72 IPS |
|
|
Pose Estimation (Q)
|
96% |
14227
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
2613
207.2 IPS |
|
|
Object Detection (HP)
|
100% |
2234
177.2 IPS |
|
|
Object Detection (Q)
|
88% |
6084
487.7 IPS |
|
|
Face Detection (SP)
|
100% |
8102
96.3 IPS |
|
|
Face Detection (HP)
|
100% |
7779
92.4 IPS |
|
|
Face Detection (Q)
|
100% |
15146
180.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6989
53.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
5853
45.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
15925
123.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15669
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
13228
17.0 IPS |
|
|
Style Transfer (Q)
|
98% |
41021
52.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3288
121.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3100
114.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8346
309.1 IPS |
|
|
Text Classification (SP)
|
100% |
2936
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
2990
3.99 KIPS |
|
|
Text Classification (Q)
|
92% |
4718
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3641
62.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4285
73.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3446
59.4 IPS |
