iPad17,2
Geekbench AI Score
5280
Single Precision Score
41225
Half Precision Score
57136
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | bkelly |
| Upload Date | March 24 2026 04:12 AM |
| Views | 3 |
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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.11 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2261
420.4 IPS |
|
|
Image Classification (HP)
|
100% |
18883
3.51 KIPS |
|
|
Image Classification (Q)
|
97% |
23780
4.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2216
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23986
388.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
32657
529.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11358
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
177271
206.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
332691
389.9 IPS |
|
|
Object Detection (SP)
|
100% |
2669
211.7 IPS |
|
|
Object Detection (HP)
|
100% |
18208
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
26501
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
4804
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
46929
557.6 IPS |
|
|
Face Detection (Q)
|
100% |
66619
791.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9124
70.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
110390
850.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
177111
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
27523
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
270955
348.3 IPS |
|
|
Style Transfer (Q)
|
96% |
373619
482.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5993
221.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
62079
2.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
100171
3.70 KIPS |
|
|
Text Classification (SP)
|
100% |
2985
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
6300
8.41 KIPS |
|
|
Text Classification (Q)
|
93% |
6672
8.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
5138
88.5 IPS |
|
|
Machine Translation (HP)
|
100% |
17666
304.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18380
317.6 IPS |
