iPad17,4
Geekbench AI Score
5319
Single Precision Score
8637
Half Precision Score
6846
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | January 08 2026 03:27 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad17,4 |
| Model ID | iPad17,4 |
| Motherboard | J821AP |
| 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 | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2293
426.4 IPS |
|
|
Image Classification (HP)
|
100% |
3720
691.8 IPS |
|
|
Image Classification (Q)
|
96% |
2503
467.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2303
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3423
55.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3721
60.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11038
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20942
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17879
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2672
211.9 IPS |
|
|
Object Detection (HP)
|
97% |
4209
335.1 IPS |
|
|
Object Detection (Q)
|
94% |
2946
234.8 IPS |
|
|
Face Detection (SP)
|
100% |
4761
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
8485
100.8 IPS |
|
|
Face Detection (Q)
|
100% |
4750
56.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9148
70.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
15249
117.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10569
82.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27539
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41475
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33848
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6016
222.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7264
268.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5147
190.1 IPS |
|
|
Text Classification (SP)
|
100% |
3198
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5538
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5521
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
5050
87.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9538
164.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9555
165.1 IPS |
