iPad16,3
Geekbench AI Score
8740
Single Precision Score
10621
Half Precision Score
9060
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | wp4 |
| Upload Date | September 19 2024 02:58 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| 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 | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4603
856.0 IPS |
|
|
Image Classification (HP)
|
100% |
4821
896.6 IPS |
|
|
Image Classification (Q)
|
97% |
3698
690.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4935
80.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6735
109.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7050
114.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
28206
32.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
30106
35.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
27950
32.8 IPS |
|
|
Object Detection (SP)
|
100% |
4784
379.4 IPS |
|
|
Object Detection (HP)
|
100% |
5296
420.1 IPS |
|
|
Object Detection (Q)
|
91% |
4155
332.0 IPS |
|
|
Face Detection (SP)
|
100% |
12835
152.5 IPS |
|
|
Face Detection (HP)
|
100% |
16281
193.5 IPS |
|
|
Face Detection (Q)
|
100% |
11667
138.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20461
157.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
22423
172.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
17949
140.3 IPS |
|
|
Style Transfer (SP)
|
100% |
56617
72.8 IPS |
|
|
Style Transfer (HP)
|
100% |
67596
86.9 IPS |
|
|
Style Transfer (Q)
|
96% |
63846
82.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11968
441.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12720
469.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10009
369.6 IPS |
|
|
Text Classification (SP)
|
100% |
3000
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5380
7.18 KIPS |
|
|
Text Classification (Q)
|
93% |
5525
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1590
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2090
36.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1665
28.8 IPS |
