iPad17,3
Geekbench AI Score
5312
Single Precision Score
42938
Half Precision Score
60091
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 11:27 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2270
422.1 IPS |
|
|
Image Classification (HP)
|
100% |
19515
3.63 KIPS |
|
|
Image Classification (Q)
|
97% |
27189
5.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2421
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
24623
399.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
33922
549.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10986
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
178832
208.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
336471
394.4 IPS |
|
|
Object Detection (SP)
|
100% |
2664
211.3 IPS |
|
|
Object Detection (HP)
|
100% |
19245
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
27876
2.23 KIPS |
|
|
Face Detection (SP)
|
100% |
4744
56.4 IPS |
|
|
Face Detection (HP)
|
100% |
47447
563.8 IPS |
|
|
Face Detection (Q)
|
100% |
67084
797.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9074
69.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
113423
873.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
193138
1.51 KIPS |
|
|
Style Transfer (SP)
|
100% |
27522
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
274663
353.1 IPS |
|
|
Style Transfer (Q)
|
96% |
377250
486.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6010
221.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
66940
2.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
103551
3.82 KIPS |
|
|
Text Classification (SP)
|
100% |
3061
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
7125
9.51 KIPS |
|
|
Text Classification (Q)
|
93% |
7267
9.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
5106
87.9 IPS |
|
|
Machine Translation (HP)
|
100% |
18275
314.8 IPS |
|
|
Machine Translation (Q)
|
98% |
19296
333.5 IPS |
