iPad17,3
Geekbench AI Score
5336
Single Precision Score
41300
Half Precision Score
58106
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 07 2026 04:00 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| Model | iPad17,3 |
| Model ID | iPad17,3 |
| Motherboard | J820AP |
| 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 | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2307
429.0 IPS |
|
|
Image Classification (HP)
|
100% |
18228
3.39 KIPS |
|
|
Image Classification (Q)
|
97% |
25319
4.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2283
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
24268
393.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
33375
541.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11038
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
177994
207.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
328834
385.4 IPS |
|
|
Object Detection (SP)
|
100% |
2673
212.0 IPS |
|
|
Object Detection (HP)
|
100% |
17965
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
27426
2.19 KIPS |
|
|
Face Detection (SP)
|
100% |
4788
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
46862
556.8 IPS |
|
|
Face Detection (Q)
|
100% |
69318
823.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9157
70.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
110816
853.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
177271
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
27633
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
271228
348.7 IPS |
|
|
Style Transfer (Q)
|
96% |
371112
478.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6010
221.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
62887
2.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99546
3.68 KIPS |
|
|
Text Classification (SP)
|
100% |
3221
4.30 KIPS |
|
|
Text Classification (HP)
|
100% |
6504
8.68 KIPS |
|
|
Text Classification (Q)
|
93% |
6836
9.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
5135
88.4 IPS |
|
|
Machine Translation (HP)
|
100% |
17719
305.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18555
320.7 IPS |
