iPad17,1
Geekbench AI Score
13145
Single Precision Score
23135
Half Precision Score
23228
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 10:14 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
6144
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10241
1.90 KIPS |
|
|
Image Classification (Q)
|
97% |
9657
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9963
161.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15165
245.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
16705
270.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
37260
43.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
89607
104.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
105644
123.8 IPS |
|
|
Object Detection (SP)
|
100% |
6298
499.6 IPS |
|
|
Object Detection (HP)
|
100% |
10854
861.0 IPS |
|
|
Object Detection (Q)
|
93% |
9802
782.0 IPS |
|
|
Face Detection (SP)
|
100% |
18303
217.5 IPS |
|
|
Face Detection (HP)
|
100% |
32026
380.5 IPS |
|
|
Face Detection (Q)
|
100% |
26015
309.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
27574
212.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
50432
388.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
51265
400.3 IPS |
|
|
Style Transfer (SP)
|
100% |
78333
100.7 IPS |
|
|
Style Transfer (HP)
|
100% |
164160
211.0 IPS |
|
|
Style Transfer (Q)
|
96% |
199860
257.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15387
568.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30637
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28102
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2916
3.89 KIPS |
|
|
Text Classification (HP)
|
99% |
5448
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5586
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
6049
104.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6571
113.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6542
113.1 IPS |
