iPad16,6
Geekbench AI Score
4819
Single Precision Score
30661
Half Precision Score
39277
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | RichardScarry |
| Upload Date | August 23 2024 06:50 PM |
| Views | 12 |
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 | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2009
373.6 IPS |
|
|
Image Classification (HP)
|
100% |
16823
3.13 KIPS |
|
|
Image Classification (Q)
|
99% |
18601
3.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2175
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
13972
226.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
14107
228.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10021
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
117653
137.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
223678
262.4 IPS |
|
|
Object Detection (SP)
|
100% |
2238
177.5 IPS |
|
|
Object Detection (HP)
|
100% |
16514
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
24605
1.97 KIPS |
|
|
Face Detection (SP)
|
100% |
4023
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
26455
314.3 IPS |
|
|
Face Detection (Q)
|
100% |
45065
535.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8337
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
82678
637.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
91731
709.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25031
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
168045
216.0 IPS |
|
|
Style Transfer (Q)
|
100% |
168328
216.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5923
218.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48342
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
84052
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3416
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5718
7.63 KIPS |
|
|
Text Classification (Q)
|
93% |
5937
7.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
4063
70.0 IPS |
|
|
Machine Translation (HP)
|
100% |
15829
272.7 IPS |
|
|
Machine Translation (Q)
|
98% |
17424
301.1 IPS |
