iPad16,1
Geekbench AI Score
3970
Single Precision Score
24435
Half Precision Score
34041
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | kiyanbaux |
| Upload Date | October 24 2024 01:04 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| Model | iPad16,1 |
| Model ID | iPad16,1 |
| Motherboard | J410AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1737
323.1 IPS |
|
|
Image Classification (HP)
|
100% |
10910
2.03 KIPS |
|
|
Image Classification (Q)
|
97% |
15263
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1652
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12966
210.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
16126
261.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7622
8.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
104143
121.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
203855
238.9 IPS |
|
|
Object Detection (SP)
|
100% |
1801
142.8 IPS |
|
|
Object Detection (HP)
|
100% |
13529
1.07 KIPS |
|
|
Object Detection (Q)
|
91% |
19010
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3385
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
34772
413.2 IPS |
|
|
Face Detection (Q)
|
100% |
50874
604.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6955
53.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
78698
606.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
127496
996.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20511
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
206527
265.5 IPS |
|
|
Style Transfer (Q)
|
96% |
252460
325.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4872
179.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34386
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58480
2.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3194
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
3098
4.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3165
4.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3291
56.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6324
108.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7229
124.9 IPS |
