iPad17,4
Geekbench AI Score
13532
Single Precision Score
24186
Half Precision Score
25507
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | March 09 2026 01:17 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| Model | iPad17,4 |
| Model ID | iPad17,4 |
| Motherboard | J821AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6045
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
10032
1.87 KIPS |
|
|
Image Classification (Q)
|
99% |
10378
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9905
160.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15557
252.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
16580
268.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
37621
43.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
90746
105.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
118270
138.6 IPS |
|
|
Object Detection (SP)
|
100% |
6370
505.3 IPS |
|
|
Object Detection (HP)
|
100% |
11255
892.8 IPS |
|
|
Object Detection (Q)
|
94% |
11771
938.6 IPS |
|
|
Face Detection (SP)
|
100% |
19207
228.2 IPS |
|
|
Face Detection (HP)
|
100% |
35084
416.9 IPS |
|
|
Face Detection (Q)
|
100% |
33797
401.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
27716
213.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
52711
406.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
56235
439.0 IPS |
|
|
Style Transfer (SP)
|
100% |
79126
101.7 IPS |
|
|
Style Transfer (HP)
|
100% |
163662
210.4 IPS |
|
|
Style Transfer (Q)
|
96% |
207829
268.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15417
569.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29791
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28727
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3205
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5589
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5618
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
6897
118.8 IPS |
|
|
Machine Translation (HP)
|
100% |
8527
146.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7635
131.9 IPS |
