iPad17,2
Geekbench AI Score
5341
Single Precision Score
8666
Half Precision Score
6848
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 11:25 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,2 |
| Model ID | iPad17,2 |
| Motherboard | J818AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2273
422.7 IPS |
|
|
Image Classification (HP)
|
100% |
3726
692.9 IPS |
|
|
Image Classification (Q)
|
96% |
2506
468.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2326
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3438
55.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3753
60.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11358
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20915
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17840
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2669
211.7 IPS |
|
|
Object Detection (HP)
|
97% |
4224
336.3 IPS |
|
|
Object Detection (Q)
|
94% |
2938
234.2 IPS |
|
|
Face Detection (SP)
|
100% |
4825
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
8503
101.0 IPS |
|
|
Face Detection (Q)
|
100% |
4735
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9142
70.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15267
118.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10567
82.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27499
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41353
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33838
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5999
221.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7387
272.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5169
190.9 IPS |
|
|
Text Classification (SP)
|
100% |
3158
4.22 KIPS |
|
|
Text Classification (HP)
|
99% |
5491
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5547
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
5129
88.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9696
167.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9479
163.8 IPS |
