iPad14,11
Geekbench AI Score
3462
Single Precision Score
27226
Half Precision Score
30415
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 09:40 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad14,11 |
| Model ID | iPad14,11 |
| Motherboard | J538AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1382
256.9 IPS |
|
|
Image Classification (HP)
|
100% |
14439
2.69 KIPS |
|
|
Image Classification (Q)
|
96% |
14565
2.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1529
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18757
304.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23746
384.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6880
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
101440
118.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
104394
122.4 IPS |
|
|
Object Detection (SP)
|
100% |
1568
124.3 IPS |
|
|
Object Detection (HP)
|
99% |
15095
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
17529
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3170
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
32933
391.3 IPS |
|
|
Face Detection (Q)
|
100% |
41412
492.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5651
43.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
85396
657.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
104348
815.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18871
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
201686
259.3 IPS |
|
|
Style Transfer (Q)
|
96% |
187661
242.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4061
150.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38493
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49296
1.82 KIPS |
|
|
Text Classification (SP)
|
100% |
2237
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3666
4.89 KIPS |
|
|
Text Classification (Q)
|
93% |
3663
4.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3535
60.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6744
116.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7312
126.4 IPS |
