iPad16,6
Geekbench AI Score
4732
Single Precision Score
36474
Half Precision Score
51572
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 09:33 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPad16,6 |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| 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% |
2032
377.9 IPS |
|
|
Image Classification (HP)
|
100% |
17344
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
24867
4.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2130
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
21977
356.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30267
490.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10060
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123481
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
233375
273.5 IPS |
|
|
Object Detection (SP)
|
100% |
2237
177.4 IPS |
|
|
Object Detection (HP)
|
100% |
18261
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25712
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4056
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
42894
509.7 IPS |
|
|
Face Detection (Q)
|
100% |
62901
747.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8365
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
100021
770.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
167837
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25270
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
235035
302.1 IPS |
|
|
Style Transfer (Q)
|
96% |
298269
384.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5885
217.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48613
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84605
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2938
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
6017
8.03 KIPS |
|
|
Text Classification (Q)
|
93% |
6144
8.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3905
67.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16442
283.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18006
311.2 IPS |
