iPad17,2
Geekbench AI Score
5287
Single Precision Score
41304
Half Precision Score
57738
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 01:37 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,2 |
| Model ID | iPad17,2 |
| Motherboard | J818AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2283
424.6 IPS |
|
|
Image Classification (HP)
|
100% |
18293
3.40 KIPS |
|
|
Image Classification (Q)
|
97% |
25589
4.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2187
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
24060
390.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
33407
541.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11027
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
177831
207.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
328799
385.4 IPS |
|
|
Object Detection (SP)
|
100% |
2702
214.3 IPS |
|
|
Object Detection (HP)
|
100% |
18116
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
26665
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4834
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
47064
559.2 IPS |
|
|
Face Detection (Q)
|
100% |
67363
800.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9147
70.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
110471
851.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
180635
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
27115
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
271644
349.2 IPS |
|
|
Style Transfer (Q)
|
96% |
368441
475.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5867
216.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63264
2.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99696
3.68 KIPS |
|
|
Text Classification (SP)
|
100% |
3199
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
6431
8.58 KIPS |
|
|
Text Classification (Q)
|
93% |
6648
8.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
5107
88.0 IPS |
|
|
Machine Translation (HP)
|
100% |
17739
305.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18490
319.5 IPS |
