Infinix ZEROBOOK Ultra
Geekbench AI Score
2549
Single Precision Score
8104
Half Precision Score
12170
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 10 2025 09:51 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% |
1259
234.1 IPS |
|
|
Image Classification (HP)
|
100% |
3869
719.5 IPS |
|
|
Image Classification (Q)
|
100% |
5125
953.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2224
36.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2432
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3029
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4226
4.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
30321
35.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
66119
77.5 IPS |
|
|
Object Detection (SP)
|
100% |
1126
89.3 IPS |
|
|
Object Detection (HP)
|
100% |
4817
382.1 IPS |
|
|
Object Detection (Q)
|
88% |
8026
643.5 IPS |
|
|
Face Detection (SP)
|
100% |
3610
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
15180
180.4 IPS |
|
|
Face Detection (Q)
|
100% |
26095
310.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3839
29.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
16700
128.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
30272
235.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12100
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
48016
61.7 IPS |
|
|
Style Transfer (Q)
|
98% |
84927
109.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1674
61.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14149
522.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23013
852.3 IPS |
|
|
Text Classification (SP)
|
100% |
1630
2.18 KIPS |
|
|
Text Classification (HP)
|
100% |
1729
2.31 KIPS |
|
|
Text Classification (Q)
|
92% |
1845
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1903
32.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2986
51.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3038
52.3 IPS |
