iPad17,3
Geekbench AI Score
12825
Single Precision Score
23034
Half Precision Score
23012
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 06:52 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad17,3 |
| Model ID | iPad17,3 |
| Motherboard | J820AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6129
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10401
1.93 KIPS |
|
|
Image Classification (Q)
|
97% |
9733
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10036
162.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15695
254.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
16886
273.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
38100
44.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
92127
107.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
107009
125.4 IPS |
|
|
Object Detection (SP)
|
100% |
6321
501.4 IPS |
|
|
Object Detection (HP)
|
100% |
10981
871.0 IPS |
|
|
Object Detection (Q)
|
93% |
9839
784.9 IPS |
|
|
Face Detection (SP)
|
100% |
18350
218.0 IPS |
|
|
Face Detection (HP)
|
100% |
32475
385.9 IPS |
|
|
Face Detection (Q)
|
100% |
26307
312.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
27971
215.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
51526
397.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
52249
407.9 IPS |
|
|
Style Transfer (SP)
|
100% |
79433
102.1 IPS |
|
|
Style Transfer (HP)
|
100% |
166762
214.4 IPS |
|
|
Style Transfer (Q)
|
96% |
203352
262.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15676
578.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31211
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29406
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2053
2.74 KIPS |
|
|
Text Classification (HP)
|
99% |
5464
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5469
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
6196
106.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5351
92.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5355
92.5 IPS |
