iPad16,6
Geekbench AI Score
8838
Single Precision Score
10566
Half Precision Score
7746
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | gbenchgs |
| Upload Date | August 15 2024 06:27 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,6 |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.45 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4477
832.6 IPS |
|
|
Image Classification (HP)
|
100% |
4831
898.3 IPS |
|
|
Image Classification (Q)
|
99% |
4513
841.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4801
77.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6689
108.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
6647
107.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
28176
32.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
30014
35.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
27613
32.3 IPS |
|
|
Object Detection (SP)
|
100% |
4755
377.2 IPS |
|
|
Object Detection (HP)
|
100% |
5212
413.4 IPS |
|
|
Object Detection (Q)
|
91% |
4143
331.1 IPS |
|
|
Face Detection (SP)
|
100% |
12686
150.7 IPS |
|
|
Face Detection (HP)
|
100% |
16121
191.6 IPS |
|
|
Face Detection (Q)
|
100% |
11553
137.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
20323
156.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
22404
172.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
3451
26.7 IPS |
|
|
Style Transfer (SP)
|
100% |
57300
73.7 IPS |
|
|
Style Transfer (HP)
|
100% |
67859
87.2 IPS |
|
|
Style Transfer (Q)
|
100% |
67370
86.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11594
428.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12988
479.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9716
360.0 IPS |
|
|
Text Classification (SP)
|
100% |
2979
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5170
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5170
6.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1980
34.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2086
35.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1681
29.0 IPS |
