iPad16,5
Geekbench AI Score
3195
Single Precision Score
18741
Half Precision Score
21993
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | darios |
| Upload Date | August 15 2024 08:25 PM |
| Views | 10 |
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, 9 Cores |
| Identifier | ARM |
| Base Frequency | 3.98 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1572
292.4 IPS |
|
|
Image Classification (HP)
|
100% |
9522
1.77 KIPS |
|
|
Image Classification (Q)
|
99% |
10246
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
907
14.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6868
111.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
6848
111.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7901
9.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
102624
119.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
187444
219.9 IPS |
|
|
Object Detection (SP)
|
100% |
1848
146.6 IPS |
|
|
Object Detection (HP)
|
100% |
11408
904.9 IPS |
|
|
Object Detection (Q)
|
93% |
15051
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
3062
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
15760
187.3 IPS |
|
|
Face Detection (Q)
|
100% |
19435
230.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5757
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
64742
498.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
67742
523.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14996
19.3 IPS |
|
|
Style Transfer (HP)
|
100% |
159676
205.3 IPS |
|
|
Style Transfer (Q)
|
100% |
161994
208.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4914
181.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23576
870.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
34077
1.26 KIPS |
|
|
Text Classification (SP)
|
100% |
1833
2.45 KIPS |
|
|
Text Classification (HP)
|
71% |
6097
8.77 KIPS |
|
|
Text Classification (Q)
|
69% |
6046
8.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
2243
38.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2981
51.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3045
52.6 IPS |
