iPad17,1
Geekbench AI Score
5362
Single Precision Score
8654
Half Precision Score
6853
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 10 2025 06:03 AM |
| 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 | 4.42 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2292
426.2 IPS |
|
|
Image Classification (HP)
|
100% |
3752
697.8 IPS |
|
|
Image Classification (Q)
|
96% |
2519
470.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2306
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3373
54.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3659
59.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11439
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
21058
24.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
17808
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2680
212.6 IPS |
|
|
Object Detection (HP)
|
97% |
4231
336.9 IPS |
|
|
Object Detection (Q)
|
94% |
2944
234.7 IPS |
|
|
Face Detection (SP)
|
100% |
4825
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
8512
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
4746
56.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9148
70.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
15366
118.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10597
82.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27595
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
41475
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33787
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6032
222.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7276
268.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5178
191.2 IPS |
|
|
Text Classification (SP)
|
100% |
3205
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5505
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5514
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
5158
88.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9620
166.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9749
168.5 IPS |
