iPad17,2
Geekbench AI Score
13238
Single Precision Score
23389
Half Precision Score
23467
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 09:15 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6148
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10344
1.92 KIPS |
|
|
Image Classification (Q)
|
97% |
9622
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9959
161.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15480
250.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
16783
272.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
37632
43.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
90293
105.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
106042
124.3 IPS |
|
|
Object Detection (SP)
|
100% |
6318
501.1 IPS |
|
|
Object Detection (HP)
|
100% |
10947
868.3 IPS |
|
|
Object Detection (Q)
|
93% |
9851
785.9 IPS |
|
|
Face Detection (SP)
|
100% |
18414
218.8 IPS |
|
|
Face Detection (HP)
|
100% |
32368
384.6 IPS |
|
|
Face Detection (Q)
|
100% |
26180
311.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
27779
214.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
51013
393.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
51950
405.6 IPS |
|
|
Style Transfer (SP)
|
100% |
78397
100.8 IPS |
|
|
Style Transfer (HP)
|
100% |
164630
211.6 IPS |
|
|
Style Transfer (Q)
|
96% |
201656
260.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15365
567.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30676
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28468
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3002
4.01 KIPS |
|
|
Text Classification (HP)
|
99% |
5542
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5624
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
6139
105.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6699
115.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6840
118.2 IPS |
