iPad16,3
Geekbench AI Score
4735
Single Precision Score
36476
Half Precision Score
52161
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | foolsmac |
| Upload Date | November 13 2024 03:11 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| 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 | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2028
377.1 IPS |
|
|
Image Classification (HP)
|
100% |
17683
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
25044
4.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2140
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22042
357.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30547
495.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10076
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123687
144.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
232688
272.7 IPS |
|
|
Object Detection (SP)
|
100% |
2255
178.8 IPS |
|
|
Object Detection (HP)
|
100% |
18294
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
26107
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4001
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
42205
501.5 IPS |
|
|
Face Detection (Q)
|
100% |
63234
751.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8313
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
99323
765.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
170067
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
25103
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
231897
298.1 IPS |
|
|
Style Transfer (Q)
|
96% |
298066
384.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5852
216.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48613
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84133
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
2998
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
6053
8.08 KIPS |
|
|
Text Classification (Q)
|
93% |
6550
8.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3925
67.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16531
284.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18163
313.9 IPS |
