iPad16,5
Geekbench AI Score
4716
Single Precision Score
35726
Half Precision Score
51261
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 11:13 PM |
| Views | 2 |
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% |
2014
374.6 IPS |
|
|
Image Classification (HP)
|
100% |
17425
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
24887
4.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2167
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16523
267.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
20816
337.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10000
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123573
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232625
272.7 IPS |
|
|
Object Detection (SP)
|
100% |
2223
176.4 IPS |
|
|
Object Detection (HP)
|
100% |
18730
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
26639
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
3986
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
42127
500.6 IPS |
|
|
Face Detection (Q)
|
100% |
61543
731.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8298
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
99751
768.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
172673
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
25130
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
235736
303.0 IPS |
|
|
Style Transfer (Q)
|
96% |
297877
384.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5834
215.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50823
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87078
3.22 KIPS |
|
|
Text Classification (SP)
|
100% |
2964
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
6172
8.24 KIPS |
|
|
Text Classification (Q)
|
93% |
7792
10.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
3909
67.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16361
281.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18172
314.0 IPS |
