iPad16,3
Geekbench AI Score
8198
Single Precision Score
9351
Half Precision Score
3004
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | wp4 |
| Upload Date | September 11 2024 09:51 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.19 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4583
852.3 IPS |
|
|
Image Classification (HP)
|
100% |
4915
914.0 IPS |
|
|
Image Classification (Q)
|
97% |
3649
680.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4741
76.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6593
106.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7011
113.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
28330
33.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
30359
35.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
28187
33.0 IPS |
|
|
Object Detection (SP)
|
100% |
4662
369.8 IPS |
|
|
Object Detection (HP)
|
100% |
5084
403.3 IPS |
|
|
Object Detection (Q)
|
92% |
4044
322.8 IPS |
|
|
Face Detection (SP)
|
100% |
12015
142.8 IPS |
|
|
Face Detection (HP)
|
100% |
15380
182.8 IPS |
|
|
Face Detection (Q)
|
100% |
11303
134.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
20993
161.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
23338
179.8 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
143.5 IPS |
|
|
Style Transfer (SP)
|
100% |
55579
71.4 IPS |
|
|
Style Transfer (HP)
|
100% |
67998
87.4 IPS |
|
|
Style Transfer (Q)
|
96% |
63627
82.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11622
429.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13288
490.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10538
389.1 IPS |
|
|
Text Classification (SP)
|
100% |
1639
2.19 KIPS |
|
|
Text Classification (HP)
|
100% |
1824
2.43 KIPS |
|
|
Text Classification (Q)
|
93% |
1349
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
1791
30.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1728
29.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2008
34.7 IPS |
