iPad17,1
Geekbench AI Score
5249
Single Precision Score
8603
Half Precision Score
6744
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | homee313 |
| Upload Date | February 21 2026 09:47 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| Model | iPad17,1 |
| Model ID | iPad17,1 |
| Motherboard | J817AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.25 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2246
417.8 IPS |
|
|
Image Classification (HP)
|
100% |
3752
697.8 IPS |
|
|
Image Classification (Q)
|
96% |
2476
462.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2256
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3476
56.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3552
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11074
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20546
24.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
17203
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
2648
210.1 IPS |
|
|
Object Detection (HP)
|
97% |
4168
331.8 IPS |
|
|
Object Detection (Q)
|
94% |
2889
230.3 IPS |
|
|
Face Detection (SP)
|
100% |
4663
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
8404
99.9 IPS |
|
|
Face Detection (Q)
|
100% |
4725
56.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9059
69.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
15026
116.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10476
81.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26268
33.8 IPS |
|
|
Style Transfer (HP)
|
100% |
40798
52.4 IPS |
|
|
Style Transfer (Q)
|
96% |
33825
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6004
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7411
273.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5211
192.4 IPS |
|
|
Text Classification (SP)
|
100% |
3154
4.21 KIPS |
|
|
Text Classification (HP)
|
99% |
5568
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5506
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
5093
87.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9359
161.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9269
160.2 IPS |
