iPad17,3
Geekbench AI Score
13274
Single Precision Score
23209
Half Precision Score
23270
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | frostie |
| Upload Date | November 08 2025 01:24 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,3 |
| Model ID | iPad17,3 |
| Motherboard | J820AP |
| 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% |
6135
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10149
1.89 KIPS |
|
|
Image Classification (Q)
|
97% |
9680
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9957
161.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15183
246.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
16678
270.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
37016
43.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
89432
104.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
105397
123.5 IPS |
|
|
Object Detection (SP)
|
100% |
6306
500.2 IPS |
|
|
Object Detection (HP)
|
100% |
10906
865.0 IPS |
|
|
Object Detection (Q)
|
93% |
9749
777.8 IPS |
|
|
Face Detection (SP)
|
100% |
18361
218.2 IPS |
|
|
Face Detection (HP)
|
100% |
32330
384.1 IPS |
|
|
Face Detection (Q)
|
100% |
26078
309.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
27630
212.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
50586
389.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
51423
401.5 IPS |
|
|
Style Transfer (SP)
|
100% |
77855
100.1 IPS |
|
|
Style Transfer (HP)
|
100% |
163533
210.2 IPS |
|
|
Style Transfer (Q)
|
96% |
199814
257.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15414
569.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30806
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28447
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3178
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
5551
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5468
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
6158
106.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6600
113.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6734
116.4 IPS |
