iPad17,3
Geekbench AI Score
12752
Single Precision Score
22837
Half Precision Score
22875
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 04 2025 07:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad17,3 |
| Model ID | iPad17,3 |
| Motherboard | J820AP |
| 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% |
6128
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10349
1.92 KIPS |
|
|
Image Classification (Q)
|
97% |
9670
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9972
161.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15265
247.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
16717
271.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
37471
43.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
89710
104.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
106236
124.5 IPS |
|
|
Object Detection (SP)
|
100% |
6277
497.9 IPS |
|
|
Object Detection (HP)
|
100% |
10878
862.8 IPS |
|
|
Object Detection (Q)
|
93% |
9765
779.0 IPS |
|
|
Face Detection (SP)
|
100% |
18038
214.3 IPS |
|
|
Face Detection (HP)
|
100% |
32067
381.0 IPS |
|
|
Face Detection (Q)
|
100% |
26349
313.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
27466
211.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
51431
396.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
51262
400.2 IPS |
|
|
Style Transfer (SP)
|
100% |
78589
101.0 IPS |
|
|
Style Transfer (HP)
|
100% |
164412
211.4 IPS |
|
|
Style Transfer (Q)
|
96% |
201823
260.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15556
574.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31096
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28991
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2112
2.82 KIPS |
|
|
Text Classification (HP)
|
99% |
5556
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5537
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
6187
106.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5343
92.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5347
92.4 IPS |
