iPad17,2
Geekbench AI Score
5184
Single Precision Score
41723
Half Precision Score
57733
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 06:07 AM |
| Views | 10 |
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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2234
415.4 IPS |
|
|
Image Classification (HP)
|
100% |
18160
3.38 KIPS |
|
|
Image Classification (Q)
|
97% |
24753
4.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2165
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
24348
394.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
33856
548.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10897
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
177251
206.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
329476
386.2 IPS |
|
|
Object Detection (SP)
|
100% |
2636
209.1 IPS |
|
|
Object Detection (HP)
|
100% |
18452
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26780
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
4671
55.5 IPS |
|
|
Face Detection (HP)
|
100% |
46669
554.5 IPS |
|
|
Face Detection (Q)
|
100% |
66388
788.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9040
69.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
112488
866.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
184532
1.44 KIPS |
|
|
Style Transfer (SP)
|
100% |
27279
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
271727
349.3 IPS |
|
|
Style Transfer (Q)
|
96% |
373677
482.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5915
218.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63123
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
100042
3.69 KIPS |
|
|
Text Classification (SP)
|
100% |
2914
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
6893
9.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6544
8.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
5085
87.6 IPS |
|
|
Machine Translation (HP)
|
100% |
17812
306.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18565
320.8 IPS |
