iPad17,1
Geekbench AI Score
5276
Single Precision Score
41311
Half Precision Score
57887
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 03 2025 10:40 AM |
| Views | 4 |
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 | 4.42 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2247
417.9 IPS |
|
|
Image Classification (HP)
|
100% |
18153
3.38 KIPS |
|
|
Image Classification (Q)
|
97% |
25087
4.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2309
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
24198
392.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
33951
550.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10933
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
178326
208.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
333105
390.4 IPS |
|
|
Object Detection (SP)
|
100% |
2647
210.0 IPS |
|
|
Object Detection (HP)
|
100% |
18016
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
26565
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
4704
55.9 IPS |
|
|
Face Detection (HP)
|
100% |
46970
558.1 IPS |
|
|
Face Detection (Q)
|
100% |
67797
805.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9046
69.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
111436
858.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
184497
1.44 KIPS |
|
|
Style Transfer (SP)
|
100% |
27336
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
271578
349.1 IPS |
|
|
Style Transfer (Q)
|
96% |
373223
481.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5973
220.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63248
2.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
97761
3.61 KIPS |
|
|
Text Classification (SP)
|
100% |
3130
4.18 KIPS |
|
|
Text Classification (HP)
|
100% |
6476
8.64 KIPS |
|
|
Text Classification (Q)
|
93% |
6690
8.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
5119
88.2 IPS |
|
|
Machine Translation (HP)
|
100% |
17621
303.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18360
317.3 IPS |
