iPad16,4
Geekbench AI Score
4689
Single Precision Score
31532
Half Precision Score
41361
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | owine |
| Upload Date | August 16 2024 01:14 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad16,4 |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 3.98 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.15 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1969
366.1 IPS |
|
|
Image Classification (HP)
|
100% |
17052
3.17 KIPS |
|
|
Image Classification (Q)
|
99% |
21789
4.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2105
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
13983
226.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
14039
227.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10024
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
118388
138.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
224770
263.6 IPS |
|
|
Object Detection (SP)
|
100% |
2218
175.9 IPS |
|
|
Object Detection (HP)
|
100% |
16920
1.34 KIPS |
|
|
Object Detection (Q)
|
91% |
25384
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
3921
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
26583
315.9 IPS |
|
|
Face Detection (Q)
|
100% |
45682
542.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8269
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
82424
635.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
92472
715.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25151
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
169589
218.0 IPS |
|
|
Style Transfer (Q)
|
100% |
168948
217.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5845
215.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48863
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
91183
3.38 KIPS |
|
|
Text Classification (SP)
|
100% |
2997
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
6764
9.03 KIPS |
|
|
Text Classification (Q)
|
93% |
6863
9.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3909
67.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16567
285.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18802
324.9 IPS |
