iPad17,2
Geekbench AI Score
5322
Single Precision Score
41165
Half Precision Score
57189
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 11:29 AM |
| Views | 1 |
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 | 4.42 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2274
423.0 IPS |
|
|
Image Classification (HP)
|
100% |
17627
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
23494
4.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2322
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
24464
396.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
33066
536.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11049
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
177720
207.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
332574
389.8 IPS |
|
|
Object Detection (SP)
|
100% |
2669
211.7 IPS |
|
|
Object Detection (HP)
|
100% |
17752
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
26594
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
4788
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
46902
557.3 IPS |
|
|
Face Detection (Q)
|
100% |
66346
788.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9139
70.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
111423
858.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
176238
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
27563
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
270705
348.0 IPS |
|
|
Style Transfer (Q)
|
96% |
372944
481.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5997
221.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
62865
2.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99748
3.68 KIPS |
|
|
Text Classification (SP)
|
100% |
3163
4.22 KIPS |
|
|
Text Classification (HP)
|
100% |
6524
8.71 KIPS |
|
|
Text Classification (Q)
|
93% |
6811
9.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
5118
88.2 IPS |
|
|
Machine Translation (HP)
|
100% |
17703
304.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18387
317.7 IPS |
