iPad16,5
Geekbench AI Score
4800
Single Precision Score
35369
Half Precision Score
49633
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | October 07 2024 07:42 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2000
371.9 IPS |
|
|
Image Classification (HP)
|
100% |
17593
3.27 KIPS |
|
|
Image Classification (Q)
|
97% |
25397
4.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2099
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16288
264.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
20491
332.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10032
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123153
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
230022
269.6 IPS |
|
|
Object Detection (SP)
|
100% |
2233
177.1 IPS |
|
|
Object Detection (HP)
|
100% |
18328
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25727
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4007
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
42766
508.2 IPS |
|
|
Face Detection (Q)
|
100% |
63221
751.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8289
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
98297
757.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
167427
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25149
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
230732
296.6 IPS |
|
|
Style Transfer (Q)
|
96% |
295762
381.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5880
217.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49126
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83615
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3490
4.66 KIPS |
|
|
Text Classification (HP)
|
100% |
6066
8.10 KIPS |
|
|
Text Classification (Q)
|
93% |
6247
8.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
4034
69.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16388
282.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18015
311.3 IPS |
