iPad16,1
Geekbench AI Score
3961
Single Precision Score
25127
Half Precision Score
35335
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | funskeen |
| Upload Date | December 08 2024 10:58 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1746
324.7 IPS |
|
|
Image Classification (HP)
|
100% |
11011
2.05 KIPS |
|
|
Image Classification (Q)
|
97% |
15551
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1657
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15969
258.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
21149
342.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7554
8.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
106413
124.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
205068
240.4 IPS |
|
|
Object Detection (SP)
|
100% |
1796
142.5 IPS |
|
|
Object Detection (HP)
|
100% |
13831
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19280
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
3363
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
35623
423.3 IPS |
|
|
Face Detection (Q)
|
100% |
51116
607.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6953
53.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
78507
604.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
129046
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
20310
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
206449
265.4 IPS |
|
|
Style Transfer (Q)
|
96% |
252440
325.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4853
179.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34369
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59537
2.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3199
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
3094
4.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3145
4.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3290
56.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6315
108.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7486
129.4 IPS |
