GPD G1668-01
Geekbench AI Score
9316
Single Precision Score
27963
Half Precision Score
35100
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 06 2026 08:17 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
5839
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
15612
2.90 KIPS |
|
|
Image Classification (Q)
|
100% |
19420
3.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6855
111.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
24608
398.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
27981
453.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16155
18.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
87126
101.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
192431
225.3 IPS |
|
|
Object Detection (SP)
|
100% |
5050
400.6 IPS |
|
|
Object Detection (HP)
|
100% |
16547
1.31 KIPS |
|
|
Object Detection (Q)
|
88% |
22503
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
12695
150.8 IPS |
|
|
Face Detection (HP)
|
100% |
30912
367.3 IPS |
|
|
Face Detection (Q)
|
100% |
43000
510.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
18338
141.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
53792
414.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
66518
517.3 IPS |
|
|
Style Transfer (SP)
|
100% |
42220
54.3 IPS |
|
|
Style Transfer (HP)
|
100% |
172020
221.1 IPS |
|
|
Style Transfer (Q)
|
98% |
243376
313.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7688
283.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30782
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45190
1.67 KIPS |
|
|
Text Classification (SP)
|
100% |
4742
6.33 KIPS |
|
|
Text Classification (HP)
|
100% |
6857
9.15 KIPS |
|
|
Text Classification (Q)
|
92% |
4326
5.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
4212
72.6 IPS |
|
|
Machine Translation (HP)
|
98% |
8744
151.1 IPS |
|
|
Machine Translation (Q)
|
100% |
8866
152.7 IPS |
