iPad14,11
Geekbench AI Score
3215
Single Precision Score
4798
Half Precision Score
4111
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | macprime |
| Upload Date | October 28 2024 06:14 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
1484
275.9 IPS |
|
|
Image Classification (HP)
|
100% |
1878
349.2 IPS |
|
|
Image Classification (Q)
|
96% |
1417
264.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1305
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1280
20.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1822
29.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6106
7.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
14410
16.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12464
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1591
126.2 IPS |
|
|
Object Detection (HP)
|
97% |
2269
180.7 IPS |
|
|
Object Detection (Q)
|
94% |
1729
137.8 IPS |
|
|
Face Detection (SP)
|
100% |
2873
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
4458
53.0 IPS |
|
|
Face Detection (Q)
|
100% |
2884
34.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5351
41.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
8661
66.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
6528
51.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17482
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
27361
35.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22922
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3728
137.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4835
178.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3579
132.2 IPS |
|
|
Text Classification (SP)
|
100% |
2203
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
3569
4.76 KIPS |
|
|
Text Classification (Q)
|
93% |
3543
4.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
2849
49.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4519
78.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4539
78.4 IPS |
