iPad17,4
Geekbench AI Score
13360
Single Precision Score
23394
Half Precision Score
23517
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | February 04 2026 12:36 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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 | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6123
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10284
1.91 KIPS |
|
|
Image Classification (Q)
|
97% |
9293
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9972
161.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15516
251.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
16847
273.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
37693
44.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
91018
106.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
106177
124.4 IPS |
|
|
Object Detection (SP)
|
100% |
6331
502.2 IPS |
|
|
Object Detection (HP)
|
100% |
10906
865.1 IPS |
|
|
Object Detection (Q)
|
93% |
9977
795.9 IPS |
|
|
Face Detection (SP)
|
100% |
18421
218.9 IPS |
|
|
Face Detection (HP)
|
100% |
32377
384.7 IPS |
|
|
Face Detection (Q)
|
100% |
26652
316.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
27710
213.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
51102
393.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
51935
405.5 IPS |
|
|
Style Transfer (SP)
|
100% |
79001
101.6 IPS |
|
|
Style Transfer (HP)
|
100% |
165209
212.4 IPS |
|
|
Style Transfer (Q)
|
96% |
202011
260.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15509
572.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30315
1.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29037
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3216
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5609
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5509
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
6185
106.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6670
114.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6977
120.6 IPS |
