iPad16,5
Geekbench AI Score
4696
Single Precision Score
35431
Half Precision Score
49427
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 11:53 PM |
| Views | 2 |
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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1986
369.4 IPS |
|
|
Image Classification (HP)
|
100% |
17707
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
25020
4.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2095
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16297
264.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
20411
330.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10035
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122978
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
230496
270.2 IPS |
|
|
Object Detection (SP)
|
100% |
2203
174.7 IPS |
|
|
Object Detection (HP)
|
100% |
18288
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25925
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
3888
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
41582
494.1 IPS |
|
|
Face Detection (Q)
|
100% |
60440
718.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8246
63.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
98307
757.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
170212
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
25072
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
233176
299.8 IPS |
|
|
Style Transfer (Q)
|
96% |
294634
380.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5862
216.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49494
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83948
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3097
4.13 KIPS |
|
|
Text Classification (HP)
|
100% |
6198
8.27 KIPS |
|
|
Text Classification (Q)
|
93% |
6241
8.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3888
67.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16433
283.1 IPS |
|
|
Machine Translation (Q)
|
98% |
17958
310.3 IPS |
