iPad17,4
Geekbench AI Score
5353
Single Precision Score
8618
Half Precision Score
6856
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | February 14 2026 02:49 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 | 4.42 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2312
429.9 IPS |
|
|
Image Classification (HP)
|
100% |
3672
682.9 IPS |
|
|
Image Classification (Q)
|
96% |
2501
467.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2312
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3425
55.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3740
60.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11347
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20976
24.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17841
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2669
211.7 IPS |
|
|
Object Detection (HP)
|
97% |
4218
335.8 IPS |
|
|
Object Detection (Q)
|
94% |
2938
234.2 IPS |
|
|
Face Detection (SP)
|
100% |
4829
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
8528
101.3 IPS |
|
|
Face Detection (Q)
|
100% |
4752
56.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9155
70.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
15225
117.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10564
82.5 IPS |
|
|
Style Transfer (SP)
|
100% |
26956
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
41474
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33788
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6029
222.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7333
270.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5160
190.6 IPS |
|
|
Text Classification (SP)
|
100% |
3215
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5543
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5606
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
5174
89.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9285
160.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9544
164.9 IPS |
