iPad17,3
Geekbench AI Score
5265
Single Precision Score
43024
Half Precision Score
60065
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 30 2025 10:48 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,3 |
| Model ID | iPad17,3 |
| Motherboard | J820AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2261
420.5 IPS |
|
|
Image Classification (HP)
|
100% |
18529
3.45 KIPS |
|
|
Image Classification (Q)
|
97% |
25626
4.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2167
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
24265
393.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
33812
548.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10989
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
178674
208.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
331713
388.8 IPS |
|
|
Object Detection (SP)
|
100% |
2655
210.6 IPS |
|
|
Object Detection (HP)
|
100% |
19509
1.55 KIPS |
|
|
Object Detection (Q)
|
91% |
27578
2.20 KIPS |
|
|
Face Detection (SP)
|
100% |
4752
56.5 IPS |
|
|
Face Detection (HP)
|
100% |
47495
564.3 IPS |
|
|
Face Detection (Q)
|
100% |
68437
813.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9120
70.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
114075
878.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
193547
1.51 KIPS |
|
|
Style Transfer (SP)
|
100% |
27508
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
273609
351.7 IPS |
|
|
Style Transfer (Q)
|
96% |
377943
487.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5831
215.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
67117
2.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
103277
3.81 KIPS |
|
|
Text Classification (SP)
|
100% |
3227
4.31 KIPS |
|
|
Text Classification (HP)
|
100% |
7589
10.1 KIPS |
|
|
Text Classification (Q)
|
93% |
7812
10.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
5111
88.0 IPS |
|
|
Machine Translation (HP)
|
100% |
18368
316.4 IPS |
|
|
Machine Translation (Q)
|
98% |
19093
330.0 IPS |
