iPad13,19
Geekbench AI Score
2620
Single Precision Score
12082
Half Precision Score
12125
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 09 2025 11:19 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad13,19 |
| Model ID | iPad13,19 |
| Motherboard | J272AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1180
219.4 IPS |
|
|
Image Classification (HP)
|
100% |
4620
859.1 IPS |
|
|
Image Classification (Q)
|
96% |
4889
913.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1019
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7684
124.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7888
127.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4908
5.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
60455
70.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
59909
70.2 IPS |
|
|
Object Detection (SP)
|
100% |
1222
96.9 IPS |
|
|
Object Detection (HP)
|
99% |
5273
419.5 IPS |
|
|
Object Detection (Q)
|
91% |
4725
377.6 IPS |
|
|
Face Detection (SP)
|
100% |
2467
29.3 IPS |
|
|
Face Detection (HP)
|
100% |
11425
135.8 IPS |
|
|
Face Detection (Q)
|
100% |
9979
118.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4804
37.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
36447
280.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
33235
259.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13405
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
95333
122.6 IPS |
|
|
Style Transfer (Q)
|
96% |
99109
127.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2708
100.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19505
720.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19884
734.2 IPS |
|
|
Text Classification (SP)
|
100% |
2290
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
2359
3.15 KIPS |
|
|
Text Classification (Q)
|
93% |
2401
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2148
37.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3208
55.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4010
69.3 IPS |
