GPD G1668-01
Geekbench AI Score
6345
Single Precision Score
12068
Half Precision Score
4235
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 06 2026 08:14 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| 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% |
3255
605.2 IPS |
|
|
Image Classification (HP)
|
100% |
4068
756.6 IPS |
|
|
Image Classification (Q)
|
100% |
3124
581.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
5130
83.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
10302
167.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3765
61.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9622
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
26594
31.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
8477
9.93 IPS |
|
|
Object Detection (SP)
|
100% |
4167
330.5 IPS |
|
|
Object Detection (HP)
|
100% |
7678
609.0 IPS |
|
|
Object Detection (Q)
|
88% |
2798
224.4 IPS |
|
|
Face Detection (SP)
|
100% |
8417
100.0 IPS |
|
|
Face Detection (HP)
|
100% |
14282
169.7 IPS |
|
|
Face Detection (Q)
|
97% |
5868
70.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15236
117.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
37923
292.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
10259
81.9 IPS |
|
|
Style Transfer (SP)
|
100% |
35813
46.0 IPS |
|
|
Style Transfer (HP)
|
100% |
129213
166.1 IPS |
|
|
Style Transfer (Q)
|
98% |
27915
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6976
257.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15169
560.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4384
162.3 IPS |
|
|
Text Classification (SP)
|
100% |
1461
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
1826
2.44 KIPS |
|
|
Text Classification (Q)
|
97% |
781
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3378
58.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3951
68.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1158
21.7 IPS |
