iPad16,3
Geekbench AI Score
4702
Single Precision Score
32052
Half Precision Score
40743
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| Upload Date | August 15 2024 11:42 PM |
| Views | 121 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1944
361.4 IPS |
|
|
Image Classification (HP)
|
100% |
18205
3.39 KIPS |
|
|
Image Classification (Q)
|
99% |
21414
3.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2154
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14051
227.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
14077
228.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9969
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
118601
138.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
225393
264.4 IPS |
|
|
Object Detection (SP)
|
100% |
2219
176.0 IPS |
|
|
Object Detection (HP)
|
100% |
17349
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
26675
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
3940
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
26454
314.3 IPS |
|
|
Face Detection (Q)
|
100% |
45861
544.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8245
63.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
83232
641.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
92762
717.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24835
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
168725
216.9 IPS |
|
|
Style Transfer (Q)
|
100% |
169149
217.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5814
214.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48963
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
83079
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2969
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
7269
9.70 KIPS |
|
|
Text Classification (Q)
|
93% |
6468
8.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
4096
70.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16444
283.3 IPS |
|
|
Machine Translation (Q)
|
98% |
17986
310.8 IPS |
