iPad17,2
Geekbench AI Score
12997
Single Precision Score
23113
Half Precision Score
23058
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 11:27 AM |
| Views | 1 |
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, 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% |
6163
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
10338
1.92 KIPS |
|
|
Image Classification (Q)
|
97% |
9646
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9969
161.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15156
245.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
16572
268.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
37004
43.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
89109
104.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
105618
123.8 IPS |
|
|
Object Detection (SP)
|
100% |
6264
496.8 IPS |
|
|
Object Detection (HP)
|
100% |
10809
857.3 IPS |
|
|
Object Detection (Q)
|
93% |
9743
777.3 IPS |
|
|
Face Detection (SP)
|
100% |
18285
217.3 IPS |
|
|
Face Detection (HP)
|
100% |
32030
380.6 IPS |
|
|
Face Detection (Q)
|
100% |
26066
309.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
27323
210.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
50160
386.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
50922
397.6 IPS |
|
|
Style Transfer (SP)
|
100% |
77730
99.9 IPS |
|
|
Style Transfer (HP)
|
100% |
163165
209.8 IPS |
|
|
Style Transfer (Q)
|
96% |
196914
254.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15322
565.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30821
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27603
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2919
3.90 KIPS |
|
|
Text Classification (HP)
|
99% |
5494
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5539
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
5564
95.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6495
111.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6463
111.7 IPS |
