iPad17,2
Geekbench AI Score
5271
Single Precision Score
41016
Half Precision Score
57248
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 21 2025 05:33 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad17,2 |
| Model ID | iPad17,2 |
| Motherboard | J818AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2297
427.1 IPS |
|
|
Image Classification (HP)
|
100% |
17705
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
23776
4.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2193
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
23877
387.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
33244
538.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11081
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
177270
206.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
332734
390.0 IPS |
|
|
Object Detection (SP)
|
100% |
2663
211.3 IPS |
|
|
Object Detection (HP)
|
100% |
17865
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26171
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4785
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
46809
556.2 IPS |
|
|
Face Detection (Q)
|
100% |
65971
783.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9107
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
110646
852.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
174491
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
27463
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
271768
349.4 IPS |
|
|
Style Transfer (Q)
|
96% |
366827
473.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5951
219.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
64881
2.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99143
3.66 KIPS |
|
|
Text Classification (SP)
|
100% |
3026
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
6238
8.33 KIPS |
|
|
Text Classification (Q)
|
93% |
7187
9.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
5168
89.0 IPS |
|
|
Machine Translation (HP)
|
100% |
17671
304.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18260
315.5 IPS |
