Infinix Infinix INBook X1
Geekbench AI Score
1442
Single Precision Score
717
Half Precision Score
3327
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 12 2025 09:18 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1035G1 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Infinix Infinix INBook X1 |
| Motherboard | Infinix EM_IC819_200B_V2.0 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1035G1 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 126 Stepping 5 |
| Base Frequency | 1.19 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1023
190.3 IPS |
|
|
Image Classification (HP)
|
100% |
279
52.0 IPS |
|
|
Image Classification (Q)
|
99% |
2711
505.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
572
9.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
410
6.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
2774
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1969
2.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
1581
1.84 IPS |
|
|
Pose Estimation (Q)
|
94% |
7357
8.63 IPS |
|
|
Object Detection (SP)
|
100% |
1036
82.2 IPS |
|
|
Object Detection (HP)
|
100% |
354
28.1 IPS |
|
|
Object Detection (Q)
|
86% |
2524
202.9 IPS |
|
|
Face Detection (SP)
|
100% |
2435
28.9 IPS |
|
|
Face Detection (HP)
|
100% |
807
9.58 IPS |
|
|
Face Detection (Q)
|
97% |
4654
55.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2748
21.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1039
8.01 IPS |
|
|
Depth Estimation (Q)
|
78% |
6744
53.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4789
6.16 IPS |
|
|
Style Transfer (HP)
|
100% |
3945
5.07 IPS |
|
|
Style Transfer (Q)
|
98% |
9757
12.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
918
33.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
832
30.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2435
90.2 IPS |
|
|
Text Classification (SP)
|
100% |
993
1.33 KIPS |
|
|
Text Classification (HP)
|
100% |
447
597.1 IPS |
|
|
Text Classification (Q)
|
97% |
1008
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1118
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
457
7.87 IPS |
|
|
Machine Translation (Q)
|
65% |
1584
31.8 IPS |
