Infinix ZEROBOOK Ultra
Geekbench AI Score
1829
Single Precision Score
7307
Half Precision Score
10409
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 10 2025 09:48 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Infinix ZEROBOOK Ultra |
| Motherboard | Default string EM_MTL822_V2_0 |
| Power Plan | Balanced Mode |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
901
167.6 IPS |
|
|
Image Classification (HP)
|
100% |
5025
934.4 IPS |
|
|
Image Classification (Q)
|
100% |
6295
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1746
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2330
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2998
48.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3006
3.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
29796
34.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
63747
74.7 IPS |
|
|
Object Detection (SP)
|
100% |
972
77.1 IPS |
|
|
Object Detection (HP)
|
100% |
4590
364.1 IPS |
|
|
Object Detection (Q)
|
88% |
7684
616.0 IPS |
|
|
Face Detection (SP)
|
100% |
3273
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
13562
161.2 IPS |
|
|
Face Detection (Q)
|
100% |
21591
256.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3191
24.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
16497
127.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
29400
228.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8728
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
43695
56.2 IPS |
|
|
Style Transfer (Q)
|
98% |
73372
94.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1359
50.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13147
485.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23010
852.2 IPS |
|
|
Text Classification (SP)
|
100% |
906
1.21 KIPS |
|
|
Text Classification (HP)
|
100% |
862
1.15 KIPS |
|
|
Text Classification (Q)
|
92% |
568
763.7 IPS |
|
|
Machine Translation (SP)
|
100% |
816
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2447
42.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2655
45.7 IPS |
