iPad17,1
Geekbench AI Score
5305
Single Precision Score
41332
Half Precision Score
57374
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Bearco |
| Upload Date | October 26 2025 09:14 PM |
| Views | 11 |
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 | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2275
423.2 IPS |
|
|
Image Classification (HP)
|
100% |
18128
3.37 KIPS |
|
|
Image Classification (Q)
|
97% |
23766
4.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2314
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
24128
391.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
33712
546.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11034
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
177192
206.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
328738
385.3 IPS |
|
|
Object Detection (SP)
|
100% |
2659
210.9 IPS |
|
|
Object Detection (HP)
|
100% |
18121
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
26576
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
4819
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
47019
558.7 IPS |
|
|
Face Detection (Q)
|
100% |
66446
789.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9130
70.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
110910
854.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
178627
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
27463
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
272915
350.8 IPS |
|
|
Style Transfer (Q)
|
96% |
373112
481.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5997
221.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63266
2.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99288
3.67 KIPS |
|
|
Text Classification (SP)
|
100% |
3091
4.13 KIPS |
|
|
Text Classification (HP)
|
100% |
6511
8.69 KIPS |
|
|
Text Classification (Q)
|
93% |
6799
9.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
5108
88.0 IPS |
|
|
Machine Translation (HP)
|
100% |
17674
304.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18472
319.2 IPS |
