iPad17,1
Geekbench AI Score
12832
Single Precision Score
23052
Half Precision Score
23067
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 06:31 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 | 4.42 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6193
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
10396
1.93 KIPS |
|
|
Image Classification (Q)
|
97% |
9731
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10035
162.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15659
253.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
16866
273.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
38058
44.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
91699
107.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
107065
125.5 IPS |
|
|
Object Detection (SP)
|
100% |
6318
501.1 IPS |
|
|
Object Detection (HP)
|
100% |
11003
872.8 IPS |
|
|
Object Detection (Q)
|
93% |
9880
788.2 IPS |
|
|
Face Detection (SP)
|
100% |
18551
220.4 IPS |
|
|
Face Detection (HP)
|
100% |
32383
384.8 IPS |
|
|
Face Detection (Q)
|
100% |
26252
311.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
27952
215.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
51424
396.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
52046
406.4 IPS |
|
|
Style Transfer (SP)
|
100% |
79008
101.6 IPS |
|
|
Style Transfer (HP)
|
100% |
166001
213.4 IPS |
|
|
Style Transfer (Q)
|
96% |
203617
262.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15601
576.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31065
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29605
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2047
2.73 KIPS |
|
|
Text Classification (HP)
|
99% |
5604
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5537
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
6194
106.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5362
92.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5387
93.1 IPS |
