iPad17,2
Geekbench AI Score
5568
Single Precision Score
42110
Half Precision Score
58488
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | nvsnvs32 |
| Upload Date | March 24 2026 08:59 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
2255
419.4 IPS |
|
|
Image Classification (HP)
|
100% |
17961
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
24605
4.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2386
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
24261
393.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
35143
569.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9850
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
177522
207.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
333830
391.3 IPS |
|
|
Object Detection (SP)
|
100% |
2724
216.1 IPS |
|
|
Object Detection (HP)
|
100% |
19663
1.56 KIPS |
|
|
Object Detection (Q)
|
89% |
28546
2.29 KIPS |
|
|
Face Detection (SP)
|
100% |
5147
61.2 IPS |
|
|
Face Detection (HP)
|
100% |
48815
580.0 IPS |
|
|
Face Detection (Q)
|
100% |
74509
885.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8789
67.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
110993
855.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
183486
1.43 KIPS |
|
|
Style Transfer (SP)
|
100% |
25432
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
275058
353.6 IPS |
|
|
Style Transfer (Q)
|
96% |
339103
437.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5840
215.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63401
2.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99461
3.67 KIPS |
|
|
Text Classification (SP)
|
100% |
5906
7.88 KIPS |
|
|
Text Classification (HP)
|
100% |
6896
9.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6672
8.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
5006
86.2 IPS |
|
|
Machine Translation (HP)
|
100% |
17694
304.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18481
319.4 IPS |
