iPad16,3
Geekbench AI Score
4748
Single Precision Score
36500
Half Precision Score
51839
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 10:22 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2026
376.8 IPS |
|
|
Image Classification (HP)
|
100% |
17077
3.18 KIPS |
|
|
Image Classification (Q)
|
97% |
24177
4.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2184
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22112
358.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30507
494.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10078
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123478
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
233146
273.3 IPS |
|
|
Object Detection (SP)
|
100% |
2247
178.2 IPS |
|
|
Object Detection (HP)
|
100% |
18530
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
25822
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4066
48.3 IPS |
|
|
Face Detection (HP)
|
100% |
42632
506.6 IPS |
|
|
Face Detection (Q)
|
100% |
62966
748.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8378
64.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
98888
761.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
169119
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25216
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
232327
298.7 IPS |
|
|
Style Transfer (Q)
|
96% |
297192
383.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5864
216.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49553
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83745
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2964
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
6088
8.13 KIPS |
|
|
Text Classification (Q)
|
93% |
6454
8.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3899
67.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16444
283.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18452
318.9 IPS |
