iPad16,5
Geekbench AI Score
4717
Single Precision Score
36381
Half Precision Score
51307
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 03:09 AM |
| Views | 3 |
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, 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% |
1981
368.4 IPS |
|
|
Image Classification (HP)
|
100% |
18460
3.43 KIPS |
|
|
Image Classification (Q)
|
97% |
26605
4.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2134
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16608
269.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
20907
338.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10059
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
124129
144.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
233247
273.4 IPS |
|
|
Object Detection (SP)
|
100% |
2224
176.4 IPS |
|
|
Object Detection (HP)
|
100% |
18510
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
26762
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
3976
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
41729
495.8 IPS |
|
|
Face Detection (Q)
|
100% |
60798
722.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8297
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
99137
763.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
170402
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
25164
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
233462
300.1 IPS |
|
|
Style Transfer (Q)
|
96% |
299336
386.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5791
213.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51182
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
89369
3.30 KIPS |
|
|
Text Classification (SP)
|
100% |
3048
4.07 KIPS |
|
|
Text Classification (HP)
|
100% |
6826
9.11 KIPS |
|
|
Text Classification (Q)
|
93% |
7067
9.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3936
67.8 IPS |
|
|
Machine Translation (HP)
|
100% |
17093
294.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18588
321.2 IPS |
