iPad16,6
Geekbench AI Score
8819
Single Precision Score
10553
Half Precision Score
9276
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | redgreen |
| Upload Date | October 31 2024 10:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad16,6 |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4429
823.7 IPS |
|
|
Image Classification (HP)
|
100% |
4793
891.3 IPS |
|
|
Image Classification (Q)
|
97% |
4075
760.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4815
78.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6696
108.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7210
116.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
28104
32.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
30023
35.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
28586
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
4710
373.6 IPS |
|
|
Object Detection (HP)
|
100% |
5254
416.8 IPS |
|
|
Object Detection (Q)
|
91% |
4440
354.8 IPS |
|
|
Face Detection (SP)
|
100% |
12750
151.5 IPS |
|
|
Face Detection (HP)
|
100% |
16311
193.8 IPS |
|
|
Face Detection (Q)
|
100% |
11956
142.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
20289
156.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
22396
172.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
18978
148.3 IPS |
|
|
Style Transfer (SP)
|
100% |
57335
73.7 IPS |
|
|
Style Transfer (HP)
|
100% |
67857
87.2 IPS |
|
|
Style Transfer (Q)
|
96% |
63954
82.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11628
429.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12560
463.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10242
378.2 IPS |
|
|
Text Classification (SP)
|
100% |
2994
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5261
7.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5189
6.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1953
33.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2067
35.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1640
28.3 IPS |
