iPad17,1
Geekbench AI Score
5600
Single Precision Score
9049
Half Precision Score
6904
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Juannut |
| Upload Date | March 04 2026 02:47 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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 | 11.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2292
426.2 IPS |
|
|
Image Classification (HP)
|
100% |
3804
707.5 IPS |
|
|
Image Classification (Q)
|
94% |
1938
362.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2396
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2982
48.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3917
63.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9837
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19255
22.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
16578
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2738
217.1 IPS |
|
|
Object Detection (HP)
|
98% |
4148
330.0 IPS |
|
|
Object Detection (Q)
|
88% |
2633
211.1 IPS |
|
|
Face Detection (SP)
|
100% |
5147
61.2 IPS |
|
|
Face Detection (HP)
|
100% |
9250
109.9 IPS |
|
|
Face Detection (Q)
|
100% |
4998
59.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8792
67.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11392
88.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7962
62.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25425
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
46162
59.3 IPS |
|
|
Style Transfer (Q)
|
96% |
37033
47.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5826
215.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10572
390.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6253
230.9 IPS |
|
|
Text Classification (SP)
|
100% |
6004
8.01 KIPS |
|
|
Text Classification (HP)
|
100% |
9714
13.0 KIPS |
|
|
Text Classification (Q)
|
93% |
9773
13.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
5096
87.8 IPS |
|
|
Machine Translation (HP)
|
100% |
8134
140.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8247
142.5 IPS |
