iPad17,4
Geekbench AI Score
5177
Single Precision Score
8215
Half Precision Score
6524
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 10:08 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad17,4 |
| Model ID | iPad17,4 |
| Motherboard | J821AP |
| 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 | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2288
425.5 IPS |
|
|
Image Classification (HP)
|
100% |
3656
679.9 IPS |
|
|
Image Classification (Q)
|
96% |
2464
460.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2173
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3189
51.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3346
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10788
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
14301
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
17735
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
2503
198.5 IPS |
|
|
Object Detection (HP)
|
97% |
4182
332.9 IPS |
|
|
Object Detection (Q)
|
94% |
2787
222.1 IPS |
|
|
Face Detection (SP)
|
100% |
4714
56.0 IPS |
|
|
Face Detection (HP)
|
100% |
8396
99.8 IPS |
|
|
Face Detection (Q)
|
100% |
4406
52.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9091
70.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
15221
117.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10408
81.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26351
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
41247
53.0 IPS |
|
|
Style Transfer (Q)
|
96% |
33683
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5774
213.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7013
258.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5047
186.4 IPS |
|
|
Text Classification (SP)
|
100% |
3042
4.06 KIPS |
|
|
Text Classification (HP)
|
99% |
5804
7.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5078
6.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
5195
89.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9363
161.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8663
149.7 IPS |
