iPad17,2
Geekbench AI Score
5304
Single Precision Score
42229
Half Precision Score
57924
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 17 2025 06:09 AM |
| Views | 12 |
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, 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% |
17994
3.35 KIPS |
|
|
Image Classification (Q)
|
97% |
24599
4.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2317
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
24115
390.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
33673
545.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11134
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
178105
207.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
333299
390.6 IPS |
|
|
Object Detection (SP)
|
100% |
2653
210.4 IPS |
|
|
Object Detection (HP)
|
100% |
18610
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
27128
2.17 KIPS |
|
|
Face Detection (SP)
|
100% |
4805
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
46718
555.1 IPS |
|
|
Face Detection (Q)
|
100% |
66463
789.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9160
70.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
110960
854.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
179685
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
27424
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
271632
349.2 IPS |
|
|
Style Transfer (Q)
|
96% |
376450
485.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6007
221.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
66810
2.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
100211
3.70 KIPS |
|
|
Text Classification (SP)
|
100% |
3028
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
7255
9.68 KIPS |
|
|
Text Classification (Q)
|
93% |
6696
8.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
5146
88.6 IPS |
|
|
Machine Translation (HP)
|
100% |
18373
316.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18821
325.3 IPS |
