iPad17,4
Geekbench AI Score
5293
Single Precision Score
8548
Half Precision Score
6802
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 08:08 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,4 |
| Model ID | iPad17,4 |
| Motherboard | J821AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2293
426.4 IPS |
|
|
Image Classification (HP)
|
100% |
3731
693.8 IPS |
|
|
Image Classification (Q)
|
96% |
2519
470.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2163
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3240
52.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3535
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11325
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20966
24.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17713
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
2710
214.9 IPS |
|
|
Object Detection (HP)
|
97% |
4253
338.5 IPS |
|
|
Object Detection (Q)
|
94% |
2950
235.1 IPS |
|
|
Face Detection (SP)
|
100% |
4743
56.4 IPS |
|
|
Face Detection (HP)
|
100% |
8535
101.4 IPS |
|
|
Face Detection (Q)
|
100% |
4796
57.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9074
69.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
15248
117.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10590
82.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27190
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
41340
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33699
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5891
217.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7088
261.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5167
190.8 IPS |
|
|
Text Classification (SP)
|
100% |
3188
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5436
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5490
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
5163
88.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9328
161.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9398
162.4 IPS |
