iPad16,1
Geekbench AI Score
4037
Single Precision Score
24854
Half Precision Score
34983
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 07:36 PM |
| Views | 1 |
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% |
1742
324.0 IPS |
|
|
Image Classification (HP)
|
100% |
10814
2.01 KIPS |
|
|
Image Classification (Q)
|
97% |
15352
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1648
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15795
256.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
21043
341.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7966
9.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
106673
124.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
203776
238.8 IPS |
|
|
Object Detection (SP)
|
100% |
1843
146.2 IPS |
|
|
Object Detection (HP)
|
100% |
13629
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
18650
1.49 KIPS |
|
|
Face Detection (SP)
|
100% |
3346
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
34436
409.2 IPS |
|
|
Face Detection (Q)
|
100% |
50062
594.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7143
55.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
78636
605.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
125920
984.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21307
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
205595
264.3 IPS |
|
|
Style Transfer (Q)
|
96% |
252885
326.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5059
186.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34026
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58841
2.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3202
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
3038
4.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3277
4.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3307
57.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6295
108.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7275
125.7 IPS |
