iPad17,1
Geekbench AI Score
5331
Single Precision Score
41271
Half Precision Score
57265
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 10 2025 07:05 PM |
| 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 | 4.40 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2314
430.3 IPS |
|
|
Image Classification (HP)
|
100% |
17869
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
23451
4.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2359
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
24199
392.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
33050
535.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11366
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
178096
207.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
328589
385.1 IPS |
|
|
Object Detection (SP)
|
100% |
2664
211.3 IPS |
|
|
Object Detection (HP)
|
100% |
18320
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
26703
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4806
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
47062
559.2 IPS |
|
|
Face Detection (Q)
|
100% |
66865
794.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9131
70.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
110584
852.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
176610
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
27190
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
270589
347.8 IPS |
|
|
Style Transfer (Q)
|
96% |
373553
482.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6013
222.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
62870
2.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101130
3.73 KIPS |
|
|
Text Classification (SP)
|
100% |
3128
4.17 KIPS |
|
|
Text Classification (HP)
|
100% |
6477
8.65 KIPS |
|
|
Text Classification (Q)
|
93% |
6784
9.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
5000
86.1 IPS |
|
|
Machine Translation (HP)
|
100% |
17721
305.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18426
318.4 IPS |
