iPad16,3
Geekbench AI Score
4732
Single Precision Score
35194
Half Precision Score
48956
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | wp4 |
| Upload Date | September 19 2024 02:43 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| 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 | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2028
377.2 IPS |
|
|
Image Classification (HP)
|
100% |
17247
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
23986
4.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2166
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16370
265.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
20525
332.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10086
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123082
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
230661
270.3 IPS |
|
|
Object Detection (SP)
|
100% |
2225
176.5 IPS |
|
|
Object Detection (HP)
|
100% |
18385
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
25564
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4012
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
41752
496.1 IPS |
|
|
Face Detection (Q)
|
100% |
60815
722.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8324
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
98451
758.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
168608
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25103
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
230866
296.8 IPS |
|
|
Style Transfer (Q)
|
96% |
293312
378.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5885
217.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48665
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84362
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2941
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
6012
8.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5973
8.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3939
67.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16439
283.2 IPS |
|
|
Machine Translation (Q)
|
98% |
17976
310.6 IPS |
