iPad17,1
Geekbench AI Score
5269
Single Precision Score
42289
Half Precision Score
59182
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 12:12 PM |
| Views | 2 |
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% |
2264
421.0 IPS |
|
|
Image Classification (HP)
|
100% |
18811
3.50 KIPS |
|
|
Image Classification (Q)
|
97% |
25008
4.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2322
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
24101
390.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
33963
550.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11010
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
178159
207.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
333199
390.5 IPS |
|
|
Object Detection (SP)
|
100% |
2678
212.4 IPS |
|
|
Object Detection (HP)
|
100% |
18795
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
26967
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
4606
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
47862
568.7 IPS |
|
|
Face Detection (Q)
|
100% |
69113
821.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9050
69.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
114012
878.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
193418
1.51 KIPS |
|
|
Style Transfer (SP)
|
100% |
26346
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
275519
354.2 IPS |
|
|
Style Transfer (Q)
|
96% |
377545
487.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5905
218.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
66491
2.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
100167
3.70 KIPS |
|
|
Text Classification (SP)
|
100% |
3200
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
6554
8.75 KIPS |
|
|
Text Classification (Q)
|
93% |
7099
9.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
5130
88.4 IPS |
|
|
Machine Translation (HP)
|
100% |
18394
316.8 IPS |
|
|
Machine Translation (Q)
|
98% |
19246
332.6 IPS |
