iPad17,1
Geekbench AI Score
5343
Single Precision Score
8633
Half Precision Score
6840
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 09:43 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2277
423.5 IPS |
|
|
Image Classification (HP)
|
100% |
3687
685.7 IPS |
|
|
Image Classification (Q)
|
96% |
2466
460.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2360
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3420
55.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3781
61.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11357
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20863
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17588
20.6 IPS |
|
|
Object Detection (SP)
|
100% |
2667
211.5 IPS |
|
|
Object Detection (HP)
|
97% |
4208
335.0 IPS |
|
|
Object Detection (Q)
|
94% |
2935
234.0 IPS |
|
|
Face Detection (SP)
|
100% |
4790
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
8493
100.9 IPS |
|
|
Face Detection (Q)
|
100% |
4724
56.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9136
70.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15259
118.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10585
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27299
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
41442
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33855
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6010
221.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7382
272.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5179
191.2 IPS |
|
|
Text Classification (SP)
|
100% |
3180
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
5503
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5551
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
5106
88.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9521
164.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9572
165.4 IPS |
