iPad17,2
Geekbench AI Score
13206
Single Precision Score
23128
Half Precision Score
23151
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 14 2025 06:36 PM |
| Views | 3 |
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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6116
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10162
1.89 KIPS |
|
|
Image Classification (Q)
|
97% |
9456
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9882
160.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15136
245.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
16606
269.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
37156
43.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
89109
104.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
105270
123.4 IPS |
|
|
Object Detection (SP)
|
100% |
6258
496.4 IPS |
|
|
Object Detection (HP)
|
100% |
10843
860.1 IPS |
|
|
Object Detection (Q)
|
93% |
9663
770.9 IPS |
|
|
Face Detection (SP)
|
100% |
17743
210.8 IPS |
|
|
Face Detection (HP)
|
100% |
31664
376.2 IPS |
|
|
Face Detection (Q)
|
100% |
25955
308.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
27373
210.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
50569
389.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
50746
396.2 IPS |
|
|
Style Transfer (SP)
|
100% |
77509
99.6 IPS |
|
|
Style Transfer (HP)
|
100% |
163668
210.4 IPS |
|
|
Style Transfer (Q)
|
96% |
199573
257.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15592
575.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30619
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28146
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3204
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5515
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5519
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
6107
105.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6661
114.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6784
117.2 IPS |
