iPad17,1
Geekbench AI Score
12684
Single Precision Score
22721
Half Precision Score
22837
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 28 2025 06:18 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad17,1 |
| Model ID | iPad17,1 |
| Motherboard | J817AP |
| 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% |
6153
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10194
1.90 KIPS |
|
|
Image Classification (Q)
|
97% |
9739
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9970
161.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15171
245.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
16692
270.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
37302
43.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
89789
104.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
105471
123.6 IPS |
|
|
Object Detection (SP)
|
100% |
6266
497.0 IPS |
|
|
Object Detection (HP)
|
100% |
10871
862.3 IPS |
|
|
Object Detection (Q)
|
93% |
9796
781.5 IPS |
|
|
Face Detection (SP)
|
100% |
18131
215.4 IPS |
|
|
Face Detection (HP)
|
100% |
31874
378.7 IPS |
|
|
Face Detection (Q)
|
100% |
26037
309.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
27478
211.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
50896
392.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
51267
400.3 IPS |
|
|
Style Transfer (SP)
|
100% |
78488
100.9 IPS |
|
|
Style Transfer (HP)
|
100% |
163606
210.3 IPS |
|
|
Style Transfer (Q)
|
96% |
200062
258.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15455
570.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30908
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29001
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2030
2.71 KIPS |
|
|
Text Classification (HP)
|
99% |
5578
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5539
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
6129
105.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5310
91.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5357
92.6 IPS |
