iPad17,3
Geekbench AI Score
13248
Single Precision Score
23239
Half Precision Score
23283
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 08:10 PM |
| Views | 1 |
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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6151
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10174
1.89 KIPS |
|
|
Image Classification (Q)
|
97% |
9629
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9936
161.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15255
247.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
16676
270.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
37245
43.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
89602
104.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
105754
124.0 IPS |
|
|
Object Detection (SP)
|
100% |
6309
500.4 IPS |
|
|
Object Detection (HP)
|
100% |
10953
868.8 IPS |
|
|
Object Detection (Q)
|
93% |
9868
787.3 IPS |
|
|
Face Detection (SP)
|
100% |
18384
218.4 IPS |
|
|
Face Detection (HP)
|
100% |
32274
383.5 IPS |
|
|
Face Detection (Q)
|
100% |
26138
310.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
27595
212.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
50565
389.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
51721
403.8 IPS |
|
|
Style Transfer (SP)
|
100% |
78215
100.5 IPS |
|
|
Style Transfer (HP)
|
100% |
164751
211.8 IPS |
|
|
Style Transfer (Q)
|
96% |
200347
258.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15463
571.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30865
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28710
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3108
4.15 KIPS |
|
|
Text Classification (HP)
|
99% |
5567
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5531
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
6082
104.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6531
112.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6498
112.3 IPS |
