iPad17,4
Geekbench AI Score
13358
Single Precision Score
23452
Half Precision Score
23490
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | January 10 2026 03:43 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.40 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6140
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10341
1.92 KIPS |
|
|
Image Classification (Q)
|
97% |
9585
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9938
161.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15441
250.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
16862
273.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
37768
44.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
90885
106.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
106641
125.0 IPS |
|
|
Object Detection (SP)
|
100% |
6332
502.3 IPS |
|
|
Object Detection (HP)
|
100% |
10946
868.2 IPS |
|
|
Object Detection (Q)
|
93% |
9821
783.5 IPS |
|
|
Face Detection (SP)
|
100% |
18357
218.1 IPS |
|
|
Face Detection (HP)
|
100% |
32426
385.3 IPS |
|
|
Face Detection (Q)
|
100% |
26643
316.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
27770
214.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
51270
395.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
51877
405.0 IPS |
|
|
Style Transfer (SP)
|
100% |
78578
101.0 IPS |
|
|
Style Transfer (HP)
|
100% |
165423
212.7 IPS |
|
|
Style Transfer (Q)
|
96% |
202652
261.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15623
576.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30519
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29101
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3200
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5612
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5477
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
6192
106.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6729
115.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6771
117.0 IPS |
