iPad17,2
Geekbench AI Score
5326
Single Precision Score
41403
Half Precision Score
57468
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 29 2025 09:30 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad17,2 |
| Model ID | iPad17,2 |
| Motherboard | J818AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2260
420.3 IPS |
|
|
Image Classification (HP)
|
100% |
18026
3.35 KIPS |
|
|
Image Classification (Q)
|
97% |
25085
4.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2336
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
24118
391.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
33838
548.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11027
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
177619
207.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
332812
390.1 IPS |
|
|
Object Detection (SP)
|
100% |
2658
210.8 IPS |
|
|
Object Detection (HP)
|
100% |
18196
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
26377
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4780
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
46740
555.4 IPS |
|
|
Face Detection (Q)
|
100% |
66273
787.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9105
70.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
110508
851.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
175230
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
27560
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
272403
350.2 IPS |
|
|
Style Transfer (Q)
|
96% |
367333
474.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6006
221.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
65863
2.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99399
3.67 KIPS |
|
|
Text Classification (SP)
|
100% |
3197
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
6435
8.59 KIPS |
|
|
Text Classification (Q)
|
93% |
6725
9.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
5162
88.9 IPS |
|
|
Machine Translation (HP)
|
100% |
17667
304.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18493
319.6 IPS |
