iPad17,2
Geekbench AI Score
5296
Single Precision Score
41838
Half Precision Score
57709
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 08:59 PM |
| 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, 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% |
18106
3.37 KIPS |
|
|
Image Classification (Q)
|
97% |
24084
4.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2176
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
24245
393.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
33378
541.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11368
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
178932
208.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
336206
394.1 IPS |
|
|
Object Detection (SP)
|
100% |
2673
212.0 IPS |
|
|
Object Detection (HP)
|
100% |
19873
1.58 KIPS |
|
|
Object Detection (Q)
|
91% |
26755
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
4804
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
47084
559.5 IPS |
|
|
Face Detection (Q)
|
100% |
67438
801.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9113
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
113350
873.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
181666
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
27519
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
270055
347.2 IPS |
|
|
Style Transfer (Q)
|
96% |
374001
482.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5793
213.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
64325
2.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99387
3.67 KIPS |
|
|
Text Classification (SP)
|
100% |
3183
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
6384
8.52 KIPS |
|
|
Text Classification (Q)
|
93% |
6568
8.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
5149
88.7 IPS |
|
|
Machine Translation (HP)
|
100% |
17788
306.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18943
327.4 IPS |
