iPad17,1
Geekbench AI Score
13355
Single Precision Score
23367
Half Precision Score
23421
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 24 2026 12:42 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad17,1 |
| Model ID | iPad17,1 |
| Motherboard | J817AP |
| 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% |
6123
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10332
1.92 KIPS |
|
|
Image Classification (Q)
|
97% |
9610
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9960
161.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15487
251.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
16786
272.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
37656
43.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
90558
105.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
106098
124.4 IPS |
|
|
Object Detection (SP)
|
100% |
6316
501.0 IPS |
|
|
Object Detection (HP)
|
100% |
10927
866.7 IPS |
|
|
Object Detection (Q)
|
93% |
9836
784.7 IPS |
|
|
Face Detection (SP)
|
100% |
18437
219.1 IPS |
|
|
Face Detection (HP)
|
100% |
32375
384.7 IPS |
|
|
Face Detection (Q)
|
100% |
26581
315.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
27681
213.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
51165
394.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
51693
403.6 IPS |
|
|
Style Transfer (SP)
|
100% |
78707
101.2 IPS |
|
|
Style Transfer (HP)
|
100% |
165574
212.8 IPS |
|
|
Style Transfer (Q)
|
96% |
203040
262.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16295
601.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30468
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28604
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3095
4.13 KIPS |
|
|
Text Classification (HP)
|
99% |
5536
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5489
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
6146
105.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6626
114.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6738
116.4 IPS |
