iPad17,1
Geekbench AI Score
5349
Single Precision Score
41262
Half Precision Score
57579
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 03 2025 06:48 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,1 |
| Model ID | iPad17,1 |
| Motherboard | J817AP |
| 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 | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2287
425.3 IPS |
|
|
Image Classification (HP)
|
100% |
17378
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
24944
4.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2313
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
24573
398.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
33870
549.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11372
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
178398
208.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
332811
390.1 IPS |
|
|
Object Detection (SP)
|
100% |
2672
211.9 IPS |
|
|
Object Detection (HP)
|
100% |
18395
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26478
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
4833
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
47036
558.9 IPS |
|
|
Face Detection (Q)
|
100% |
66858
794.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9090
70.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
111023
855.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
175616
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
27458
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
271999
349.7 IPS |
|
|
Style Transfer (Q)
|
96% |
372656
480.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6001
221.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63041
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99079
3.66 KIPS |
|
|
Text Classification (SP)
|
100% |
3199
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
6432
8.58 KIPS |
|
|
Text Classification (Q)
|
93% |
6754
9.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
5161
88.9 IPS |
|
|
Machine Translation (HP)
|
100% |
17727
305.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18375
317.5 IPS |
