iPad16,5
Geekbench AI Score
4676
Single Precision Score
37712
Half Precision Score
53536
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | achakbrooks |
| Upload Date | October 30 2024 05:18 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1959
364.2 IPS |
|
|
Image Classification (HP)
|
100% |
18919
3.52 KIPS |
|
|
Image Classification (Q)
|
97% |
29088
5.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21923
355.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30057
487.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10023
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123543
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232185
272.1 IPS |
|
|
Object Detection (SP)
|
100% |
2203
174.7 IPS |
|
|
Object Detection (HP)
|
100% |
18627
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
26341
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
3928
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
43501
516.9 IPS |
|
|
Face Detection (Q)
|
100% |
63143
750.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8264
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
98773
761.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
168186
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25138
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
233980
300.8 IPS |
|
|
Style Transfer (Q)
|
96% |
299904
387.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5865
216.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49022
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82592
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2971
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
7325
9.78 KIPS |
|
|
Text Classification (Q)
|
93% |
7476
10.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
3840
66.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16887
290.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18392
317.8 IPS |
