iPad17,1
Geekbench AI Score
5299
Single Precision Score
41591
Half Precision Score
58067
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 10 2025 09:15 PM |
| Views | 1 |
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 | 4.43 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2294
426.5 IPS |
|
|
Image Classification (HP)
|
100% |
18339
3.41 KIPS |
|
|
Image Classification (Q)
|
97% |
24511
4.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2329
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
24112
390.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
33142
537.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11163
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
177904
207.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
333410
390.8 IPS |
|
|
Object Detection (SP)
|
100% |
2654
210.5 IPS |
|
|
Object Detection (HP)
|
100% |
18524
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
26547
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
4784
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
46949
557.9 IPS |
|
|
Face Detection (Q)
|
100% |
66721
792.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9134
70.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
112052
863.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
188835
1.48 KIPS |
|
|
Style Transfer (SP)
|
100% |
27489
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
271894
349.5 IPS |
|
|
Style Transfer (Q)
|
96% |
376178
485.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6007
221.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63364
2.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101510
3.75 KIPS |
|
|
Text Classification (SP)
|
100% |
3032
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
6593
8.80 KIPS |
|
|
Text Classification (Q)
|
93% |
6810
9.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
5046
86.9 IPS |
|
|
Machine Translation (HP)
|
100% |
17790
306.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18502
319.7 IPS |
