iPad17,2
Geekbench AI Score
13213
Single Precision Score
23442
Half Precision Score
23431
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 09 2026 11:21 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad17,2 |
| Model ID | iPad17,2 |
| Motherboard | J818AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6161
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
10467
1.95 KIPS |
|
|
Image Classification (Q)
|
97% |
9693
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9974
161.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15519
251.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
16775
271.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
37786
44.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
91459
106.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
106492
124.8 IPS |
|
|
Object Detection (SP)
|
100% |
6294
499.2 IPS |
|
|
Object Detection (HP)
|
100% |
10904
864.9 IPS |
|
|
Object Detection (Q)
|
93% |
9874
787.7 IPS |
|
|
Face Detection (SP)
|
100% |
18155
215.7 IPS |
|
|
Face Detection (HP)
|
100% |
32354
384.4 IPS |
|
|
Face Detection (Q)
|
100% |
26059
309.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
27753
213.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
51331
395.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
51826
404.6 IPS |
|
|
Style Transfer (SP)
|
100% |
79114
101.7 IPS |
|
|
Style Transfer (HP)
|
100% |
164891
212.0 IPS |
|
|
Style Transfer (Q)
|
96% |
203080
262.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15407
568.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30594
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29027
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2959
3.95 KIPS |
|
|
Text Classification (HP)
|
99% |
5573
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5501
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
6110
105.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6627
114.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6662
115.1 IPS |
