iPad17,4
Geekbench AI Score
5330
Single Precision Score
8646
Half Precision Score
6847
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | February 14 2026 03:39 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
2291
426.0 IPS |
|
|
Image Classification (HP)
|
100% |
3722
692.1 IPS |
|
|
Image Classification (Q)
|
96% |
2487
464.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2314
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3371
54.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3721
60.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11049
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20924
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17901
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2669
211.7 IPS |
|
|
Object Detection (HP)
|
97% |
4201
334.5 IPS |
|
|
Object Detection (Q)
|
94% |
2930
233.6 IPS |
|
|
Face Detection (SP)
|
100% |
4798
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
8511
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
4766
56.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9154
70.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
15291
118.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10572
82.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27527
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41474
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33910
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6014
222.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7284
269.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5166
190.7 IPS |
|
|
Text Classification (SP)
|
100% |
3204
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5662
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5526
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
5081
87.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9510
164.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9567
165.3 IPS |
