iPad16,5
Geekbench AI Score
4702
Single Precision Score
30803
Half Precision Score
38724
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | pythagoras |
| Upload Date | August 27 2024 08:09 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2006
373.1 IPS |
|
|
Image Classification (HP)
|
100% |
16684
3.10 KIPS |
|
|
Image Classification (Q)
|
99% |
18192
3.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2180
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
13959
226.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
14000
226.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10048
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
117820
137.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
223966
262.7 IPS |
|
|
Object Detection (SP)
|
100% |
2220
176.1 IPS |
|
|
Object Detection (HP)
|
100% |
16619
1.32 KIPS |
|
|
Object Detection (Q)
|
91% |
24672
1.97 KIPS |
|
|
Face Detection (SP)
|
100% |
3994
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
26472
314.5 IPS |
|
|
Face Detection (Q)
|
100% |
45403
539.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8283
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
83020
639.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
91268
705.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24995
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
168420
216.5 IPS |
|
|
Style Transfer (Q)
|
100% |
168652
216.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5838
215.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48209
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
79433
2.94 KIPS |
|
|
Text Classification (SP)
|
100% |
2898
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5855
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5548
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3875
66.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16144
278.1 IPS |
|
|
Machine Translation (Q)
|
98% |
17495
302.3 IPS |
