iPad16,5
Geekbench AI Score
4710
Single Precision Score
35213
Half Precision Score
49596
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 12:44 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.22 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1954
363.3 IPS |
|
|
Image Classification (HP)
|
100% |
17118
3.18 KIPS |
|
|
Image Classification (Q)
|
97% |
25285
4.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2114
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16355
265.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
20679
335.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10031
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122870
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
232000
271.9 IPS |
|
|
Object Detection (SP)
|
100% |
2205
174.9 IPS |
|
|
Object Detection (HP)
|
100% |
18626
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
25999
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
3952
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
41400
491.9 IPS |
|
|
Face Detection (Q)
|
100% |
61027
725.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8290
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
98685
760.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
170408
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
25027
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
233184
299.8 IPS |
|
|
Style Transfer (Q)
|
96% |
295158
380.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5835
215.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49457
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85700
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3128
4.17 KIPS |
|
|
Text Classification (HP)
|
100% |
5905
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5988
8.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3930
67.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16444
283.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18128
313.3 IPS |
