iPad17,2
Geekbench AI Score
13277
Single Precision Score
23153
Half Precision Score
23375
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | foolsmac |
| Upload Date | November 26 2025 03:37 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
6120
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10049
1.87 KIPS |
|
|
Image Classification (Q)
|
97% |
9709
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9975
161.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15311
248.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
16707
270.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
37193
43.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
89425
104.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
105087
123.2 IPS |
|
|
Object Detection (SP)
|
100% |
6300
499.7 IPS |
|
|
Object Detection (HP)
|
100% |
10876
862.7 IPS |
|
|
Object Detection (Q)
|
93% |
9864
786.9 IPS |
|
|
Face Detection (SP)
|
100% |
18353
218.1 IPS |
|
|
Face Detection (HP)
|
100% |
32186
382.4 IPS |
|
|
Face Detection (Q)
|
100% |
26170
311.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
27553
212.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
50312
387.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
51189
399.7 IPS |
|
|
Style Transfer (SP)
|
100% |
78145
100.5 IPS |
|
|
Style Transfer (HP)
|
100% |
164178
211.1 IPS |
|
|
Style Transfer (Q)
|
96% |
199804
257.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15336
566.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30596
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28455
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3197
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5478
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5611
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
6142
105.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6641
114.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6778
117.1 IPS |
