iPad17,2
Geekbench AI Score
5247
Single Precision Score
42771
Half Precision Score
60138
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 21 2025 12:52 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad17,2 |
| Model ID | iPad17,2 |
| Motherboard | J818AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2179
405.3 IPS |
|
|
Image Classification (HP)
|
100% |
19057
3.54 KIPS |
|
|
Image Classification (Q)
|
97% |
26798
5.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2258
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
24346
394.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
33960
550.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11052
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
167173
195.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
336850
394.8 IPS |
|
|
Object Detection (SP)
|
100% |
2651
210.3 IPS |
|
|
Object Detection (HP)
|
100% |
20073
1.59 KIPS |
|
|
Object Detection (Q)
|
91% |
28058
2.24 KIPS |
|
|
Face Detection (SP)
|
100% |
4726
56.2 IPS |
|
|
Face Detection (HP)
|
100% |
47582
565.4 IPS |
|
|
Face Detection (Q)
|
100% |
68525
814.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9135
70.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
114201
879.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
195466
1.53 KIPS |
|
|
Style Transfer (SP)
|
100% |
27375
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
274115
352.4 IPS |
|
|
Style Transfer (Q)
|
96% |
377829
487.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6009
221.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
67202
2.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
104771
3.87 KIPS |
|
|
Text Classification (SP)
|
100% |
3085
4.12 KIPS |
|
|
Text Classification (HP)
|
100% |
7201
9.61 KIPS |
|
|
Text Classification (Q)
|
93% |
7170
9.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
5011
86.3 IPS |
|
|
Machine Translation (HP)
|
100% |
18259
314.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18923
327.0 IPS |
