iPad17,1
Geekbench AI Score
5338
Single Precision Score
41486
Half Precision Score
57730
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | victoriggy |
| Upload Date | February 14 2026 11:36 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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 | 11.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2277
423.4 IPS |
|
|
Image Classification (HP)
|
100% |
18024
3.35 KIPS |
|
|
Image Classification (Q)
|
97% |
23862
4.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2343
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
24489
397.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
33847
548.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11042
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
177911
207.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
333078
390.4 IPS |
|
|
Object Detection (SP)
|
100% |
2659
210.9 IPS |
|
|
Object Detection (HP)
|
100% |
18043
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
26576
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
4792
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
47172
560.5 IPS |
|
|
Face Detection (Q)
|
100% |
66462
789.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9109
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
110587
852.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
184036
1.44 KIPS |
|
|
Style Transfer (SP)
|
100% |
27628
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
271644
349.2 IPS |
|
|
Style Transfer (Q)
|
96% |
373394
481.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6032
222.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
65482
2.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99555
3.68 KIPS |
|
|
Text Classification (SP)
|
100% |
3226
4.31 KIPS |
|
|
Text Classification (HP)
|
100% |
6559
8.75 KIPS |
|
|
Text Classification (Q)
|
93% |
6938
9.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
5116
88.1 IPS |
|
|
Machine Translation (HP)
|
100% |
17513
301.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18233
315.1 IPS |
