iPad17,1
Geekbench AI Score
5360
Single Precision Score
41548
Half Precision Score
57895
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 04:26 PM |
| Views | 4 |
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 | 4.42 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2299
427.5 IPS |
|
|
Image Classification (HP)
|
100% |
18442
3.43 KIPS |
|
|
Image Classification (Q)
|
97% |
24079
4.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2336
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
24177
391.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
33784
547.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11302
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
178498
208.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
333908
391.4 IPS |
|
|
Object Detection (SP)
|
100% |
2674
212.1 IPS |
|
|
Object Detection (HP)
|
100% |
18056
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
26276
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4809
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
47186
560.7 IPS |
|
|
Face Detection (Q)
|
100% |
68545
814.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9147
70.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
112818
869.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
178702
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
27387
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
272218
349.9 IPS |
|
|
Style Transfer (Q)
|
96% |
367166
473.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6040
223.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63890
2.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101309
3.74 KIPS |
|
|
Text Classification (SP)
|
100% |
3218
4.30 KIPS |
|
|
Text Classification (HP)
|
100% |
6474
8.64 KIPS |
|
|
Text Classification (Q)
|
93% |
7075
9.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
5158
88.8 IPS |
|
|
Machine Translation (HP)
|
100% |
17799
306.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18389
317.8 IPS |
