iPad16,1
Geekbench AI Score
3938
Single Precision Score
25356
Half Precision Score
35583
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | rthiemann |
| Upload Date | December 20 2024 07:36 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1729
321.6 IPS |
|
|
Image Classification (HP)
|
100% |
10904
2.03 KIPS |
|
|
Image Classification (Q)
|
97% |
15241
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1636
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16048
260.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
21198
343.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7415
8.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
104129
121.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
204514
239.7 IPS |
|
|
Object Detection (SP)
|
100% |
1801
142.9 IPS |
|
|
Object Detection (HP)
|
100% |
13791
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
18977
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3321
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
35082
416.9 IPS |
|
|
Face Detection (Q)
|
100% |
51064
606.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6805
52.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
78721
606.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
129019
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
20281
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
205321
263.9 IPS |
|
|
Style Transfer (Q)
|
96% |
254390
328.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4819
177.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34039
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58416
2.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3238
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
3598
4.80 KIPS |
|
|
Text Classification (Q)
|
93% |
3544
4.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3325
57.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6296
108.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7481
129.3 IPS |
