iPad16,6
Geekbench AI Score
4723
Single Precision Score
30981
Half Precision Score
39744
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Swissnightlover |
| Upload Date | August 19 2024 09:06 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
2022
376.1 IPS |
|
|
Image Classification (HP)
|
100% |
17222
3.20 KIPS |
|
|
Image Classification (Q)
|
99% |
19304
3.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2175
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
14037
227.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
14006
227.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10024
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
118092
137.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
225182
264.1 IPS |
|
|
Object Detection (SP)
|
100% |
2231
177.0 IPS |
|
|
Object Detection (HP)
|
100% |
16751
1.33 KIPS |
|
|
Object Detection (Q)
|
91% |
25056
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4020
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
26253
311.9 IPS |
|
|
Face Detection (Q)
|
100% |
45694
542.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8318
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
82621
636.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
92203
712.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25118
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
169075
217.3 IPS |
|
|
Style Transfer (Q)
|
100% |
168784
217.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5865
216.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48827
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
82035
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2941
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5820
7.77 KIPS |
|
|
Text Classification (Q)
|
93% |
6200
8.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3884
66.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16349
281.6 IPS |
|
|
Machine Translation (Q)
|
98% |
17825
308.0 IPS |
