iPad16,1
Geekbench AI Score
4418
Single Precision Score
4918
Half Precision Score
4409
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | darios |
| Upload Date | December 14 2024 11:06 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1338
248.9 IPS |
|
|
Image Classification (HP)
|
100% |
1487
276.5 IPS |
|
|
Image Classification (Q)
|
97% |
1068
199.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3242
52.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3477
56.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3445
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12192
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12925
15.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12184
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1878
149.0 IPS |
|
|
Object Detection (HP)
|
100% |
1751
138.9 IPS |
|
|
Object Detection (Q)
|
91% |
1570
125.4 IPS |
|
|
Face Detection (SP)
|
100% |
5931
70.5 IPS |
|
|
Face Detection (HP)
|
100% |
6256
74.3 IPS |
|
|
Face Detection (Q)
|
100% |
5388
64.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10015
77.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
10806
83.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9450
73.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26125
33.6 IPS |
|
|
Style Transfer (HP)
|
100% |
29167
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
27437
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5300
195.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5458
201.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3837
141.7 IPS |
|
|
Text Classification (SP)
|
100% |
3196
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5525
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5481
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1087
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1192
20.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1344
23.2 IPS |
