iPad17,2
Geekbench AI Score
5320
Single Precision Score
41618
Half Precision Score
57516
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | foolsmac |
| Upload Date | March 07 2026 03:56 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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 | 11.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2281
424.2 IPS |
|
|
Image Classification (HP)
|
100% |
18290
3.40 KIPS |
|
|
Image Classification (Q)
|
97% |
24134
4.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2318
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
24418
395.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
33188
538.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11004
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
177159
206.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
329673
386.4 IPS |
|
|
Object Detection (SP)
|
100% |
2650
210.2 IPS |
|
|
Object Detection (HP)
|
100% |
18060
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
26954
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
4754
56.5 IPS |
|
|
Face Detection (HP)
|
100% |
46874
557.0 IPS |
|
|
Face Detection (Q)
|
100% |
66279
787.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9119
70.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
110769
853.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
178621
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
27331
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
272199
349.9 IPS |
|
|
Style Transfer (Q)
|
96% |
372628
480.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5990
221.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63315
2.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
98977
3.65 KIPS |
|
|
Text Classification (SP)
|
100% |
3239
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
6933
9.25 KIPS |
|
|
Text Classification (Q)
|
93% |
6999
9.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
5125
88.3 IPS |
|
|
Machine Translation (HP)
|
100% |
17586
302.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18216
314.8 IPS |
