iPad17,1
Geekbench AI Score
5642
Single Precision Score
41414
Half Precision Score
58727
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | March 17 2026 03:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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 | 11.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2315
430.6 IPS |
|
|
Image Classification (HP)
|
100% |
18091
3.36 KIPS |
|
|
Image Classification (Q)
|
97% |
26176
4.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2384
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
24086
390.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
34857
565.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10028
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
177733
207.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
333994
391.5 IPS |
|
|
Object Detection (SP)
|
100% |
2727
216.3 IPS |
|
|
Object Detection (HP)
|
100% |
17970
1.43 KIPS |
|
|
Object Detection (Q)
|
89% |
27907
2.23 KIPS |
|
|
Face Detection (SP)
|
100% |
5197
61.7 IPS |
|
|
Face Detection (HP)
|
100% |
48856
580.5 IPS |
|
|
Face Detection (Q)
|
100% |
75105
892.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8828
68.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
109868
846.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
180399
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
25488
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
274815
353.3 IPS |
|
|
Style Transfer (Q)
|
96% |
344747
444.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5841
215.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
62822
2.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99807
3.69 KIPS |
|
|
Text Classification (SP)
|
99% |
6053
8.08 KIPS |
|
|
Text Classification (HP)
|
100% |
6503
8.68 KIPS |
|
|
Text Classification (Q)
|
93% |
6669
8.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
5245
90.4 IPS |
|
|
Machine Translation (HP)
|
100% |
17698
304.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18455
318.9 IPS |
