iPad16,5
Geekbench AI Score
4715
Single Precision Score
36502
Half Precision Score
52317
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 02:21 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 15.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1994
370.7 IPS |
|
|
Image Classification (HP)
|
100% |
17513
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
28282
5.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21874
354.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30330
491.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10054
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123391
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
231685
271.5 IPS |
|
|
Object Detection (SP)
|
100% |
2269
180.0 IPS |
|
|
Object Detection (HP)
|
100% |
18216
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25953
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4027
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
43262
514.0 IPS |
|
|
Face Detection (Q)
|
100% |
62453
742.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8320
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
98937
762.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
168329
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25254
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
234132
301.0 IPS |
|
|
Style Transfer (Q)
|
96% |
296171
382.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5865
216.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48739
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83608
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2933
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
6176
8.24 KIPS |
|
|
Text Classification (Q)
|
93% |
6438
8.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3884
66.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16168
278.5 IPS |
|
|
Machine Translation (Q)
|
98% |
17773
307.1 IPS |
