iPad17,1
Geekbench AI Score
5333
Single Precision Score
8581
Half Precision Score
6853
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 21 2025 05:55 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,1 |
| Model ID | iPad17,1 |
| Motherboard | J817AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2291
426.1 IPS |
|
|
Image Classification (HP)
|
100% |
3724
692.5 IPS |
|
|
Image Classification (Q)
|
96% |
2508
468.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2315
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3470
56.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3819
61.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11397
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20930
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17878
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2661
211.1 IPS |
|
|
Object Detection (HP)
|
97% |
4240
337.5 IPS |
|
|
Object Detection (Q)
|
94% |
2950
235.1 IPS |
|
|
Face Detection (SP)
|
100% |
4836
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
8513
101.2 IPS |
|
|
Face Detection (Q)
|
100% |
4755
56.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9159
70.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
15306
118.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10596
82.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27340
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
41469
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33830
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6005
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7333
270.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5169
190.9 IPS |
|
|
Text Classification (SP)
|
100% |
3200
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5516
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5526
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4974
85.7 IPS |
|
|
Machine Translation (HP)
|
98% |
8638
149.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9294
160.6 IPS |
