iPad17,3
Geekbench AI Score
5333
Single Precision Score
41547
Half Precision Score
57313
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 06:47 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad17,3 |
| Model ID | iPad17,3 |
| Motherboard | J820AP |
| 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 | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2299
427.5 IPS |
|
|
Image Classification (HP)
|
100% |
18045
3.36 KIPS |
|
|
Image Classification (Q)
|
97% |
23636
4.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2385
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
24415
395.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
33133
537.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10990
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
178262
208.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
333220
390.6 IPS |
|
|
Object Detection (SP)
|
100% |
2647
210.0 IPS |
|
|
Object Detection (HP)
|
100% |
18024
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
26526
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
4808
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
46697
554.9 IPS |
|
|
Face Detection (Q)
|
100% |
66575
791.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9158
70.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
110801
853.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
184134
1.44 KIPS |
|
|
Style Transfer (SP)
|
100% |
27420
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
271502
349.0 IPS |
|
|
Style Transfer (Q)
|
96% |
367031
473.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6016
222.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63218
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99505
3.67 KIPS |
|
|
Text Classification (SP)
|
100% |
3207
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
6882
9.19 KIPS |
|
|
Text Classification (Q)
|
93% |
6693
8.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
5015
86.4 IPS |
|
|
Machine Translation (HP)
|
100% |
17715
305.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18438
318.6 IPS |
