iPad17,3
Geekbench AI Score
5304
Single Precision Score
41258
Half Precision Score
57586
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Indria |
| Upload Date | December 26 2025 11:55 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| Model | iPad17,3 |
| Model ID | iPad17,3 |
| Motherboard | J820AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.39 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2299
427.6 IPS |
|
|
Image Classification (HP)
|
100% |
18362
3.41 KIPS |
|
|
Image Classification (Q)
|
97% |
23296
4.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2315
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
24114
390.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
33861
548.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11339
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
178353
208.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
333603
391.0 IPS |
|
|
Object Detection (SP)
|
100% |
2647
209.9 IPS |
|
|
Object Detection (HP)
|
100% |
17993
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
27767
2.22 KIPS |
|
|
Face Detection (SP)
|
100% |
4780
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
47063
559.2 IPS |
|
|
Face Detection (Q)
|
100% |
66566
791.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8995
69.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
110571
851.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
176662
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
26692
34.3 IPS |
|
|
Style Transfer (HP)
|
100% |
271256
348.7 IPS |
|
|
Style Transfer (Q)
|
96% |
373681
482.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5998
221.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63272
2.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
100915
3.73 KIPS |
|
|
Text Classification (SP)
|
100% |
3159
4.22 KIPS |
|
|
Text Classification (HP)
|
100% |
6398
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6720
9.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
5081
87.5 IPS |
|
|
Machine Translation (HP)
|
100% |
17603
303.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18419
318.3 IPS |
