iPad16,3
Geekbench AI Score
4708
Single Precision Score
36012
Half Precision Score
50951
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Dripis |
| Upload Date | September 25 2024 02:36 PM |
| Views | 16 |
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 | 4.40 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2010
373.8 IPS |
|
|
Image Classification (HP)
|
100% |
16457
3.06 KIPS |
|
|
Image Classification (Q)
|
97% |
23815
4.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2147
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22008
356.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30228
490.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10076
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123583
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232176
272.1 IPS |
|
|
Object Detection (SP)
|
100% |
2214
175.6 IPS |
|
|
Object Detection (HP)
|
100% |
18382
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
25865
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
3997
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
42863
509.3 IPS |
|
|
Face Detection (Q)
|
100% |
62323
740.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8307
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
98594
759.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
167820
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25032
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
234320
301.2 IPS |
|
|
Style Transfer (Q)
|
96% |
298414
385.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5840
215.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48232
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84717
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2940
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5783
7.72 KIPS |
|
|
Text Classification (Q)
|
93% |
5812
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3897
67.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16143
278.1 IPS |
|
|
Machine Translation (Q)
|
98% |
17749
306.7 IPS |
