iPad16,1
Geekbench AI Score
3788
Single Precision Score
24441
Half Precision Score
33698
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ___ |
| Upload Date | March 18 2025 03:06 PM |
| Views | 29 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| Model | iPad16,1 |
| Model ID | iPad16,1 |
| Motherboard | J410AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1618
300.8 IPS |
|
|
Image Classification (HP)
|
100% |
11158
2.08 KIPS |
|
|
Image Classification (Q)
|
97% |
16960
3.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1627
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15787
255.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
20566
333.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6389
7.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
95003
110.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
202981
237.9 IPS |
|
|
Object Detection (SP)
|
100% |
1653
131.1 IPS |
|
|
Object Detection (HP)
|
100% |
13575
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
18823
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
3118
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
36710
436.2 IPS |
|
|
Face Detection (Q)
|
100% |
53761
638.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6535
50.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
80213
618.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
131253
1.03 KIPS |
|
|
Style Transfer (SP)
|
100% |
19733
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
209034
268.7 IPS |
|
|
Style Transfer (Q)
|
96% |
254834
328.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4760
175.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36112
1.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57601
2.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3320
4.43 KIPS |
|
|
Text Classification (HP)
|
100% |
2260
3.02 KIPS |
|
|
Text Classification (Q)
|
93% |
1780
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3444
59.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6666
114.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7686
132.8 IPS |
