iPad17,2
Geekbench AI Score
5292
Single Precision Score
42166
Half Precision Score
58596
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | jamesjingyi |
| Upload Date | October 23 2025 10:22 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,2 |
| Model ID | iPad17,2 |
| Motherboard | J818AP |
| 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 | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2273
422.7 IPS |
|
|
Image Classification (HP)
|
100% |
18383
3.42 KIPS |
|
|
Image Classification (Q)
|
97% |
24744
4.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2328
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
24172
391.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
33865
549.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10984
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
178077
207.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
335664
393.4 IPS |
|
|
Object Detection (SP)
|
100% |
2629
208.6 IPS |
|
|
Object Detection (HP)
|
100% |
19324
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
27107
2.17 KIPS |
|
|
Face Detection (SP)
|
100% |
4753
56.5 IPS |
|
|
Face Detection (HP)
|
100% |
47105
559.7 IPS |
|
|
Face Detection (Q)
|
100% |
66900
794.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9081
70.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
111363
858.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
190765
1.49 KIPS |
|
|
Style Transfer (SP)
|
100% |
27465
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
269974
347.1 IPS |
|
|
Style Transfer (Q)
|
96% |
372306
480.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5966
220.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63706
2.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99864
3.69 KIPS |
|
|
Text Classification (SP)
|
100% |
3108
4.15 KIPS |
|
|
Text Classification (HP)
|
100% |
7223
9.64 KIPS |
|
|
Text Classification (Q)
|
93% |
7131
9.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
5132
88.4 IPS |
|
|
Machine Translation (HP)
|
100% |
17831
307.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18498
319.7 IPS |
