iPad16,3
Geekbench AI Score
4715
Single Precision Score
36847
Half Precision Score
51288
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Martythebrit |
| Upload Date | October 19 2024 07:56 PM |
| Views | 18 |
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 | 4.39 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2004
372.6 IPS |
|
|
Image Classification (HP)
|
100% |
17311
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
24395
4.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2144
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22010
356.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30381
492.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10076
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
124036
144.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
233903
274.1 IPS |
|
|
Object Detection (SP)
|
100% |
2223
176.3 IPS |
|
|
Object Detection (HP)
|
100% |
18370
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
25844
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
3996
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
42954
510.4 IPS |
|
|
Face Detection (Q)
|
100% |
62839
746.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8324
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
99060
763.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
169106
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25127
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
234065
300.9 IPS |
|
|
Style Transfer (Q)
|
96% |
296275
382.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5881
217.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50327
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83760
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2945
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
6453
8.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5919
7.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3906
67.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16432
283.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18010
311.2 IPS |
