iPad17,1
Geekbench AI Score
12069
Single Precision Score
21994
Half Precision Score
21908
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | notakaos |
| Upload Date | October 23 2025 04:08 AM |
| Views | 6 |
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% |
6040
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
10338
1.92 KIPS |
|
|
Image Classification (Q)
|
97% |
9576
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9503
154.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14780
239.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
16054
260.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
31555
36.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
87418
102.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
95650
112.1 IPS |
|
|
Object Detection (SP)
|
100% |
5933
470.6 IPS |
|
|
Object Detection (HP)
|
100% |
10713
849.8 IPS |
|
|
Object Detection (Q)
|
93% |
9509
758.6 IPS |
|
|
Face Detection (SP)
|
100% |
17907
212.8 IPS |
|
|
Face Detection (HP)
|
100% |
30853
366.6 IPS |
|
|
Face Detection (Q)
|
100% |
25741
305.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
25361
195.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
49214
379.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
49967
390.1 IPS |
|
|
Style Transfer (SP)
|
100% |
70728
90.9 IPS |
|
|
Style Transfer (HP)
|
100% |
135913
174.7 IPS |
|
|
Style Transfer (Q)
|
96% |
166773
215.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15017
554.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29248
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26505
978.7 IPS |
|
|
Text Classification (SP)
|
100% |
2137
2.85 KIPS |
|
|
Text Classification (HP)
|
99% |
6079
8.11 KIPS |
|
|
Text Classification (Q)
|
93% |
6127
8.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
5921
102.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5045
86.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5231
90.4 IPS |
