iPad17,4
Geekbench AI Score
5344
Single Precision Score
8606
Half Precision Score
6826
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | January 04 2026 10:06 PM |
| 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% |
2294
426.6 IPS |
|
|
Image Classification (HP)
|
100% |
3688
685.8 IPS |
|
|
Image Classification (Q)
|
96% |
2484
463.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2317
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3412
55.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3716
60.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11054
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20958
24.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17877
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2664
211.3 IPS |
|
|
Object Detection (HP)
|
97% |
4174
332.3 IPS |
|
|
Object Detection (Q)
|
94% |
2931
233.6 IPS |
|
|
Face Detection (SP)
|
100% |
4811
57.2 IPS |
|
|
Face Detection (HP)
|
100% |
8539
101.5 IPS |
|
|
Face Detection (Q)
|
100% |
4784
56.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9130
70.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15253
117.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10542
82.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27708
35.6 IPS |
|
|
Style Transfer (HP)
|
100% |
41427
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33899
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6019
222.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7199
265.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5121
189.1 IPS |
|
|
Text Classification (SP)
|
100% |
3209
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5497
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5520
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
5163
88.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9488
163.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9403
162.5 IPS |
