iPad16,1
Geekbench AI Score
1832
Single Precision Score
14077
Half Precision Score
19246
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 25 2025 10:36 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
781
145.2 IPS |
|
|
Image Classification (HP)
|
100% |
6639
1.23 KIPS |
|
|
Image Classification (Q)
|
97% |
9081
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
820
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
10921
177.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
11852
192.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3757
4.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
50394
58.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
97316
114.1 IPS |
|
|
Object Detection (SP)
|
100% |
761
60.3 IPS |
|
|
Object Detection (HP)
|
100% |
7355
583.4 IPS |
|
|
Object Detection (Q)
|
91% |
9487
758.0 IPS |
|
|
Face Detection (SP)
|
100% |
1652
19.6 IPS |
|
|
Face Detection (HP)
|
100% |
21035
249.9 IPS |
|
|
Face Detection (Q)
|
100% |
29330
348.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3075
23.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
39641
305.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
61030
477.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9566
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
102136
131.3 IPS |
|
|
Style Transfer (Q)
|
96% |
150493
194.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2248
83.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18520
683.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30994
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
1413
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
1745
2.33 KIPS |
|
|
Text Classification (Q)
|
93% |
1939
2.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1510
26.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4132
71.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4336
74.9 IPS |
