iPad16,5
Geekbench AI Score
4694
Single Precision Score
34922
Half Precision Score
49549
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 07:16 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 | 4.40 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1988
369.6 IPS |
|
|
Image Classification (HP)
|
100% |
16887
3.14 KIPS |
|
|
Image Classification (Q)
|
97% |
28623
5.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2107
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16308
264.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
20656
334.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10035
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123167
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
229814
269.4 IPS |
|
|
Object Detection (SP)
|
100% |
2207
175.0 IPS |
|
|
Object Detection (HP)
|
100% |
18113
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25419
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
3927
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
41472
492.8 IPS |
|
|
Face Detection (Q)
|
100% |
60291
716.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8300
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
98744
760.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
168086
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25057
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
233747
300.5 IPS |
|
|
Style Transfer (Q)
|
96% |
293304
378.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5863
216.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49027
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84913
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
2977
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5762
7.69 KIPS |
|
|
Text Classification (Q)
|
93% |
5727
7.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3933
67.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16241
279.8 IPS |
|
|
Machine Translation (Q)
|
98% |
17867
308.8 IPS |
