iPad17,1
Geekbench AI Score
5326
Single Precision Score
41392
Half Precision Score
58181
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 31 2025 11:08 AM |
| Views | 5 |
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 | 4.43 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2281
424.2 IPS |
|
|
Image Classification (HP)
|
100% |
18037
3.35 KIPS |
|
|
Image Classification (Q)
|
97% |
24166
4.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2329
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
24303
394.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
33198
538.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11009
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
178091
207.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
329696
386.4 IPS |
|
|
Object Detection (SP)
|
100% |
2654
210.5 IPS |
|
|
Object Detection (HP)
|
100% |
17963
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26467
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4808
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
46497
552.5 IPS |
|
|
Face Detection (Q)
|
100% |
67070
796.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9128
70.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
110222
849.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
194226
1.52 KIPS |
|
|
Style Transfer (SP)
|
100% |
27535
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
271132
348.5 IPS |
|
|
Style Transfer (Q)
|
96% |
377882
487.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6011
221.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63402
2.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
100046
3.69 KIPS |
|
|
Text Classification (SP)
|
100% |
3199
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
6804
9.08 KIPS |
|
|
Text Classification (Q)
|
93% |
6993
9.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
5097
87.8 IPS |
|
|
Machine Translation (HP)
|
100% |
17566
302.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18436
318.6 IPS |
