iPad17,1
Geekbench AI Score
5310
Single Precision Score
8599
Half Precision Score
6802
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Tonyiphone4 |
| Upload Date | February 14 2026 01:17 AM |
| Views | 3 |
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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.11 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2293
426.4 IPS |
|
|
Image Classification (HP)
|
100% |
3693
686.8 IPS |
|
|
Image Classification (Q)
|
96% |
2483
463.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2186
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3248
52.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3569
57.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11377
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20939
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17867
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2679
212.5 IPS |
|
|
Object Detection (HP)
|
97% |
4148
330.2 IPS |
|
|
Object Detection (Q)
|
94% |
2912
232.1 IPS |
|
|
Face Detection (SP)
|
100% |
4769
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
8491
100.9 IPS |
|
|
Face Detection (Q)
|
100% |
4752
56.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9090
70.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
15205
117.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10501
82.0 IPS |
|
|
Style Transfer (SP)
|
100% |
27229
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
41432
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33782
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6031
222.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7425
274.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5194
191.8 IPS |
|
|
Text Classification (SP)
|
100% |
3185
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5621
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5506
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
5148
88.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9504
164.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9540
164.9 IPS |
