iPad17,1
Geekbench AI Score
13365
Single Precision Score
23512
Half Precision Score
23625
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 10:10 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
6197
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
10393
1.93 KIPS |
|
|
Image Classification (Q)
|
97% |
9807
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10012
162.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15597
252.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
16823
272.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
37815
44.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
91352
106.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
106616
125.0 IPS |
|
|
Object Detection (SP)
|
100% |
6315
500.9 IPS |
|
|
Object Detection (HP)
|
100% |
10989
871.7 IPS |
|
|
Object Detection (Q)
|
93% |
9925
791.8 IPS |
|
|
Face Detection (SP)
|
100% |
18441
219.1 IPS |
|
|
Face Detection (HP)
|
100% |
32404
385.0 IPS |
|
|
Face Detection (Q)
|
100% |
26333
312.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
27832
214.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
50792
391.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
52206
407.6 IPS |
|
|
Style Transfer (SP)
|
100% |
78863
101.4 IPS |
|
|
Style Transfer (HP)
|
100% |
164631
211.6 IPS |
|
|
Style Transfer (Q)
|
96% |
202809
261.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15536
573.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30597
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29288
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3146
4.20 KIPS |
|
|
Text Classification (HP)
|
99% |
5584
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5614
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
6204
106.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6854
118.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6768
117.0 IPS |
