PCSpecialist Defiance II 16
Geekbench AI Score
4275
Single Precision Score
1460
Half Precision Score
7116
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 04 2025 09:19 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14650HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | PCSpecialist Defiance II 16 |
| Motherboard | Notebook V3xxSNR |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14650HX |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3541
658.5 IPS |
|
|
Image Classification (HP)
|
100% |
568
105.6 IPS |
|
|
Image Classification (Q)
|
99% |
6525
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1760
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1082
17.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3753
61.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7348
8.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
4274
4.99 IPS |
|
|
Pose Estimation (Q)
|
94% |
24647
28.9 IPS |
|
|
Object Detection (SP)
|
100% |
3227
256.0 IPS |
|
|
Object Detection (HP)
|
100% |
717
56.9 IPS |
|
|
Object Detection (Q)
|
86% |
6772
544.2 IPS |
|
|
Face Detection (SP)
|
100% |
9073
107.8 IPS |
|
|
Face Detection (HP)
|
100% |
1727
20.5 IPS |
|
|
Face Detection (Q)
|
97% |
10374
123.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9440
72.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1682
13.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
15138
120.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17321
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8922
11.5 IPS |
|
|
Style Transfer (Q)
|
98% |
23117
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2843
105.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1898
70.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3843
142.3 IPS |
|
|
Text Classification (SP)
|
100% |
1607
2.15 KIPS |
|
|
Text Classification (HP)
|
100% |
748
998.1 IPS |
|
|
Text Classification (Q)
|
97% |
1760
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2036
35.1 IPS |
|
|
Machine Translation (HP)
|
100% |
638
11.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3319
66.7 IPS |
