iPad17,4
Geekbench AI Score
5152
Single Precision Score
8223
Half Precision Score
6689
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 10:08 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2270
422.1 IPS |
|
|
Image Classification (HP)
|
100% |
3655
679.7 IPS |
|
|
Image Classification (Q)
|
96% |
2501
466.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2214
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3235
52.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3127
50.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11269
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16322
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
17565
20.6 IPS |
|
|
Object Detection (SP)
|
100% |
2640
209.4 IPS |
|
|
Object Detection (HP)
|
97% |
4058
323.1 IPS |
|
|
Object Detection (Q)
|
94% |
2896
230.8 IPS |
|
|
Face Detection (SP)
|
100% |
4342
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
8212
97.6 IPS |
|
|
Face Detection (Q)
|
100% |
4709
56.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9060
69.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14856
114.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10512
82.0 IPS |
|
|
Style Transfer (SP)
|
100% |
26196
33.7 IPS |
|
|
Style Transfer (HP)
|
100% |
41255
53.0 IPS |
|
|
Style Transfer (Q)
|
96% |
33749
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5748
212.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7080
261.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4999
184.6 IPS |
|
|
Text Classification (SP)
|
100% |
2878
3.84 KIPS |
|
|
Text Classification (HP)
|
99% |
5373
7.17 KIPS |
|
|
Text Classification (Q)
|
93% |
5463
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
5178
89.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9428
162.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9893
171.0 IPS |
