iPad16,6
Geekbench AI Score
4708
Single Precision Score
7797
Half Precision Score
6238
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 12:20 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1995
370.9 IPS |
|
|
Image Classification (HP)
|
100% |
3297
613.1 IPS |
|
|
Image Classification (Q)
|
96% |
2312
431.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3252
52.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3616
58.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10060
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19064
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16471
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2245
178.0 IPS |
|
|
Object Detection (HP)
|
97% |
3811
303.4 IPS |
|
|
Object Detection (Q)
|
94% |
2688
214.2 IPS |
|
|
Face Detection (SP)
|
100% |
3988
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
7750
92.1 IPS |
|
|
Face Detection (Q)
|
100% |
4444
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8294
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14686
113.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10156
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25064
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37865
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31294
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5833
215.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6893
254.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4844
178.9 IPS |
|
|
Text Classification (SP)
|
100% |
2952
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5265
7.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5164
6.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3915
67.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6817
117.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6832
118.1 IPS |
