iPad17,1
Geekbench AI Score
5326
Single Precision Score
41415
Half Precision Score
58338
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 08:31 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2266
421.3 IPS |
|
|
Image Classification (HP)
|
100% |
18282
3.40 KIPS |
|
|
Image Classification (Q)
|
97% |
25897
4.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2363
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
24602
398.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
34108
552.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11111
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
177743
207.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
333238
390.6 IPS |
|
|
Object Detection (SP)
|
100% |
2655
210.6 IPS |
|
|
Object Detection (HP)
|
100% |
17885
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26496
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
4805
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
46661
554.4 IPS |
|
|
Face Detection (Q)
|
100% |
65518
778.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9060
69.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
112570
867.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
183998
1.44 KIPS |
|
|
Style Transfer (SP)
|
100% |
27502
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
271622
349.2 IPS |
|
|
Style Transfer (Q)
|
96% |
372829
481.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5995
221.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63300
2.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99581
3.68 KIPS |
|
|
Text Classification (SP)
|
100% |
3160
4.22 KIPS |
|
|
Text Classification (HP)
|
100% |
6483
8.65 KIPS |
|
|
Text Classification (Q)
|
93% |
7077
9.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
5134
88.4 IPS |
|
|
Machine Translation (HP)
|
100% |
17733
305.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18483
319.4 IPS |
