iPad17,1
Geekbench AI Score
5298
Single Precision Score
41313
Half Precision Score
57592
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 01:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2268
421.7 IPS |
|
|
Image Classification (HP)
|
100% |
19105
3.55 KIPS |
|
|
Image Classification (Q)
|
97% |
25233
4.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2347
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
24399
395.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
33876
549.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11041
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
177980
207.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
332833
390.1 IPS |
|
|
Object Detection (SP)
|
100% |
2669
211.7 IPS |
|
|
Object Detection (HP)
|
100% |
17812
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
26413
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4806
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
46626
554.0 IPS |
|
|
Face Detection (Q)
|
100% |
65740
781.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9114
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
110750
853.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
176642
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
27546
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
269658
346.6 IPS |
|
|
Style Transfer (Q)
|
96% |
372703
481.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6009
221.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
62892
2.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99068
3.66 KIPS |
|
|
Text Classification (SP)
|
100% |
2978
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
6362
8.49 KIPS |
|
|
Text Classification (Q)
|
93% |
6776
9.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
5148
88.7 IPS |
|
|
Machine Translation (HP)
|
100% |
17595
303.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18388
317.8 IPS |
