iPad16,1
Geekbench AI Score
3857
Single Precision Score
6749
Half Precision Score
5517
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | gastaro |
| Upload Date | October 27 2024 09:10 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| Model | iPad16,1 |
| Model ID | iPad16,1 |
| Motherboard | J410AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1709
317.8 IPS |
|
|
Image Classification (HP)
|
100% |
2894
538.2 IPS |
|
|
Image Classification (Q)
|
96% |
2011
375.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1622
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2399
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3072
49.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7281
8.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
14736
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13152
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1717
136.2 IPS |
|
|
Object Detection (HP)
|
97% |
3320
264.3 IPS |
|
|
Object Detection (Q)
|
94% |
2318
184.7 IPS |
|
|
Face Detection (SP)
|
100% |
3233
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
6838
81.3 IPS |
|
|
Face Detection (Q)
|
100% |
3777
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6728
51.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13198
102.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8939
69.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19976
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
31355
40.3 IPS |
|
|
Style Transfer (Q)
|
96% |
26443
34.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4648
171.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6004
221.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4380
161.7 IPS |
|
|
Text Classification (SP)
|
100% |
3202
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5570
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5569
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3256
56.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6108
105.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6373
110.1 IPS |
