iPad17,4
Geekbench AI Score
5327
Single Precision Score
8607
Half Precision Score
6841
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | January 10 2026 02:12 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.42 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2290
425.9 IPS |
|
|
Image Classification (HP)
|
100% |
3700
688.0 IPS |
|
|
Image Classification (Q)
|
96% |
2489
464.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2310
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3389
54.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3715
60.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11038
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20887
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17863
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2662
211.2 IPS |
|
|
Object Detection (HP)
|
97% |
4187
333.4 IPS |
|
|
Object Detection (Q)
|
94% |
2939
234.2 IPS |
|
|
Face Detection (SP)
|
100% |
4800
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
8531
101.4 IPS |
|
|
Face Detection (Q)
|
100% |
4781
56.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9157
70.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
15289
118.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10583
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27597
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
41465
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33830
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6007
221.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7231
267.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5127
189.3 IPS |
|
|
Text Classification (SP)
|
100% |
3212
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5490
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5578
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
5062
87.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9486
163.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9459
163.5 IPS |
