iPad17,4
Geekbench AI Score
5319
Single Precision Score
8802
Half Precision Score
6858
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 06 2026 06:54 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.43 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2279
423.8 IPS |
|
|
Image Classification (HP)
|
100% |
3708
689.7 IPS |
|
|
Image Classification (Q)
|
96% |
2503
467.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2420
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3492
56.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3802
61.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11255
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
20928
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17847
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2662
211.2 IPS |
|
|
Object Detection (HP)
|
97% |
4219
335.9 IPS |
|
|
Object Detection (Q)
|
94% |
2945
234.7 IPS |
|
|
Face Detection (SP)
|
100% |
4762
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
8505
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
4718
56.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9162
70.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
15209
117.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10536
82.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27409
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41316
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33775
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6006
221.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7277
268.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5168
190.8 IPS |
|
|
Text Classification (SP)
|
100% |
3004
4.01 KIPS |
|
|
Text Classification (HP)
|
99% |
6560
8.76 KIPS |
|
|
Text Classification (Q)
|
93% |
5543
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
5085
87.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9579
165.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9567
165.3 IPS |
