iPad17,1
Geekbench AI Score
5343
Single Precision Score
41461
Half Precision Score
57236
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 27 2025 06:15 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2313
430.2 IPS |
|
|
Image Classification (HP)
|
100% |
18202
3.39 KIPS |
|
|
Image Classification (Q)
|
97% |
23571
4.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2314
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
24493
397.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
33757
547.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11034
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
178561
208.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
330099
386.9 IPS |
|
|
Object Detection (SP)
|
100% |
2662
211.2 IPS |
|
|
Object Detection (HP)
|
100% |
18045
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
26431
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4788
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
46976
558.2 IPS |
|
|
Face Detection (Q)
|
100% |
66613
791.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9086
70.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
110397
850.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
179417
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
27573
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
270723
348.0 IPS |
|
|
Style Transfer (Q)
|
96% |
373150
481.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6024
222.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
64333
2.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
96792
3.57 KIPS |
|
|
Text Classification (SP)
|
100% |
3211
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
6590
8.80 KIPS |
|
|
Text Classification (Q)
|
93% |
6864
9.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
5202
89.6 IPS |
|
|
Machine Translation (HP)
|
100% |
17559
302.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18344
317.0 IPS |
