iPad16,1
Geekbench AI Score
4174
Single Precision Score
24964
Half Precision Score
34666
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | foolsmac |
| Upload Date | November 05 2024 06:18 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1755
326.3 IPS |
|
|
Image Classification (HP)
|
100% |
11347
2.11 KIPS |
|
|
Image Classification (Q)
|
97% |
15525
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1763
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16117
261.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
21082
341.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8631
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
108135
126.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
204357
239.5 IPS |
|
|
Object Detection (SP)
|
100% |
1869
148.2 IPS |
|
|
Object Detection (HP)
|
100% |
13898
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19142
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3455
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
34742
412.8 IPS |
|
|
Face Detection (Q)
|
100% |
50124
595.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7354
56.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
79048
609.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
126147
986.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22309
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
206568
265.5 IPS |
|
|
Style Transfer (Q)
|
96% |
252524
325.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5203
192.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34539
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55308
2.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3251
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
2784
3.72 KIPS |
|
|
Text Classification (Q)
|
93% |
3063
4.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3358
57.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6272
108.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7237
125.1 IPS |
