iPad17,2
Geekbench AI Score
13294
Single Precision Score
23432
Half Precision Score
23449
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | bkelly |
| Upload Date | March 20 2026 04:00 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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, 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% |
6165
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
10400
1.93 KIPS |
|
|
Image Classification (Q)
|
97% |
9699
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9996
162.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15532
251.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
16755
271.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
37799
44.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
90872
106.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
106237
124.5 IPS |
|
|
Object Detection (SP)
|
100% |
6283
498.4 IPS |
|
|
Object Detection (HP)
|
100% |
10931
867.0 IPS |
|
|
Object Detection (Q)
|
93% |
9840
785.0 IPS |
|
|
Face Detection (SP)
|
100% |
18131
215.4 IPS |
|
|
Face Detection (HP)
|
100% |
32358
384.5 IPS |
|
|
Face Detection (Q)
|
100% |
26055
309.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
27721
213.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
51298
395.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
51791
404.4 IPS |
|
|
Style Transfer (SP)
|
100% |
78427
100.8 IPS |
|
|
Style Transfer (HP)
|
100% |
164704
211.7 IPS |
|
|
Style Transfer (Q)
|
96% |
203247
262.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15598
575.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30901
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29168
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3102
4.14 KIPS |
|
|
Text Classification (HP)
|
99% |
5451
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5502
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
6177
106.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6755
116.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6723
116.2 IPS |
