iPad16,3
Geekbench AI Score
3288
Single Precision Score
18852
Half Precision Score
24538
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 01:32 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.7.1 |
| 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 | 7.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1621
301.5 IPS |
|
|
Image Classification (HP)
|
100% |
8850
1.65 KIPS |
|
|
Image Classification (Q)
|
97% |
10786
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
953
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6852
111.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
13940
226.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9780
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
107459
125.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
187897
220.2 IPS |
|
|
Object Detection (SP)
|
100% |
1853
147.0 IPS |
|
|
Object Detection (HP)
|
100% |
11558
916.8 IPS |
|
|
Object Detection (Q)
|
93% |
14552
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3052
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
16095
191.2 IPS |
|
|
Face Detection (Q)
|
100% |
19570
232.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5750
44.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
63337
488.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
91462
715.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14954
19.2 IPS |
|
|
Style Transfer (HP)
|
100% |
160323
206.1 IPS |
|
|
Style Transfer (Q)
|
96% |
172242
222.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4906
181.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23248
858.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32780
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
1866
2.49 KIPS |
|
|
Text Classification (HP)
|
71% |
6535
9.40 KIPS |
|
|
Text Classification (Q)
|
69% |
6392
9.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2199
37.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3033
52.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2981
51.5 IPS |
