iPad16,5
Geekbench AI Score
3274
Single Precision Score
18748
Half Precision Score
24467
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | eahyndman3 |
| Upload Date | September 08 2024 11:00 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1609
299.2 IPS |
|
|
Image Classification (HP)
|
100% |
8925
1.66 KIPS |
|
|
Image Classification (Q)
|
97% |
10736
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
943
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6824
110.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
13937
225.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9732
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
106723
124.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
187172
219.4 IPS |
|
|
Object Detection (SP)
|
100% |
1845
146.3 IPS |
|
|
Object Detection (HP)
|
100% |
11353
900.5 IPS |
|
|
Object Detection (Q)
|
93% |
14020
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
3019
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
16086
191.1 IPS |
|
|
Face Detection (Q)
|
100% |
19551
232.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5728
44.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
61978
477.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
89718
701.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14926
19.2 IPS |
|
|
Style Transfer (HP)
|
100% |
160830
206.7 IPS |
|
|
Style Transfer (Q)
|
96% |
172284
222.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4882
180.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23291
860.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34052
1.26 KIPS |
|
|
Text Classification (SP)
|
100% |
1849
2.47 KIPS |
|
|
Text Classification (HP)
|
71% |
6445
9.27 KIPS |
|
|
Text Classification (Q)
|
69% |
6246
9.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2233
38.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3022
52.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3047
52.6 IPS |
