iPad17,3
Geekbench AI Score
5248
Single Precision Score
41480
Half Precision Score
57772
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 08:07 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2260
420.4 IPS |
|
|
Image Classification (HP)
|
100% |
18175
3.38 KIPS |
|
|
Image Classification (Q)
|
97% |
24270
4.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2180
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
24531
397.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
33814
548.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10880
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
177746
207.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
329184
385.8 IPS |
|
|
Object Detection (SP)
|
100% |
2639
209.3 IPS |
|
|
Object Detection (HP)
|
100% |
18492
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
27492
2.20 KIPS |
|
|
Face Detection (SP)
|
100% |
4691
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
47063
559.2 IPS |
|
|
Face Detection (Q)
|
100% |
67099
797.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9070
69.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
110935
854.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
180680
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
27327
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
272251
350.0 IPS |
|
|
Style Transfer (Q)
|
96% |
372573
480.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5923
218.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
62860
2.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
97562
3.60 KIPS |
|
|
Text Classification (SP)
|
100% |
3179
4.24 KIPS |
|
|
Text Classification (HP)
|
100% |
6425
8.58 KIPS |
|
|
Text Classification (Q)
|
93% |
6668
8.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
5123
88.2 IPS |
|
|
Machine Translation (HP)
|
100% |
17926
308.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18980
328.0 IPS |
