iPad17,2
Geekbench AI Score
5275
Single Precision Score
42054
Half Precision Score
58312
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 30 2025 01:59 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad17,2 |
| Model ID | iPad17,2 |
| Motherboard | J818AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2255
419.4 IPS |
|
|
Image Classification (HP)
|
100% |
19509
3.63 KIPS |
|
|
Image Classification (Q)
|
97% |
27645
5.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2214
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
24155
391.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
33568
544.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11095
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
177241
206.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
333420
390.8 IPS |
|
|
Object Detection (SP)
|
100% |
2651
210.3 IPS |
|
|
Object Detection (HP)
|
100% |
18540
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
26303
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4744
56.4 IPS |
|
|
Face Detection (HP)
|
100% |
46655
554.4 IPS |
|
|
Face Detection (Q)
|
100% |
66395
788.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9045
69.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
111637
860.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
185653
1.45 KIPS |
|
|
Style Transfer (SP)
|
100% |
27456
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
270615
347.9 IPS |
|
|
Style Transfer (Q)
|
96% |
375943
485.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5948
219.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
62997
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
100461
3.71 KIPS |
|
|
Text Classification (SP)
|
100% |
3180
4.24 KIPS |
|
|
Text Classification (HP)
|
100% |
7066
9.43 KIPS |
|
|
Text Classification (Q)
|
93% |
6472
8.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
5100
87.9 IPS |
|
|
Machine Translation (HP)
|
100% |
17809
306.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18540
320.4 IPS |
