iPad17,1
Geekbench AI Score
5321
Single Precision Score
41215
Half Precision Score
57026
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 06:51 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2304
428.4 IPS |
|
|
Image Classification (HP)
|
100% |
18171
3.38 KIPS |
|
|
Image Classification (Q)
|
97% |
23534
4.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2359
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
24027
389.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
33081
536.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10963
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
178307
208.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
332401
389.6 IPS |
|
|
Object Detection (SP)
|
100% |
2676
212.2 IPS |
|
|
Object Detection (HP)
|
100% |
17963
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26450
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4869
57.9 IPS |
|
|
Face Detection (HP)
|
100% |
47025
558.8 IPS |
|
|
Face Detection (Q)
|
100% |
66430
789.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9152
70.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
110362
850.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
175606
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
27163
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
271619
349.2 IPS |
|
|
Style Transfer (Q)
|
96% |
371577
479.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6017
222.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
62955
2.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
98655
3.64 KIPS |
|
|
Text Classification (SP)
|
100% |
3070
4.10 KIPS |
|
|
Text Classification (HP)
|
100% |
6424
8.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6740
9.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
5110
88.0 IPS |
|
|
Machine Translation (HP)
|
100% |
17744
305.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18436
318.6 IPS |
