iPad17,2
Geekbench AI Score
5287
Single Precision Score
40364
Half Precision Score
56102
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | cheltenham |
| Upload Date | January 04 2026 05:04 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| Model | iPad17,2 |
| Model ID | iPad17,2 |
| Motherboard | J818AP |
| 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 | 11.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2273
422.6 IPS |
|
|
Image Classification (HP)
|
100% |
17455
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
23367
4.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2305
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
24075
390.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
33942
550.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11091
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
177952
207.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
333354
390.7 IPS |
|
|
Object Detection (SP)
|
100% |
2658
210.8 IPS |
|
|
Object Detection (HP)
|
100% |
18183
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25764
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4782
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
46851
556.7 IPS |
|
|
Face Detection (Q)
|
100% |
66103
785.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9117
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
109697
845.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
178665
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
27528
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
269496
346.4 IPS |
|
|
Style Transfer (Q)
|
96% |
371855
479.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5998
221.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
61603
2.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
93735
3.46 KIPS |
|
|
Text Classification (SP)
|
100% |
2997
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5734
7.65 KIPS |
|
|
Text Classification (Q)
|
93% |
6108
8.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
5125
88.3 IPS |
|
|
Machine Translation (HP)
|
100% |
17261
297.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18037
311.7 IPS |
