iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3229
Single Precision Score
15559
Half Precision Score
15275
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 11:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1387
257.9 IPS |
|
|
Image Classification (HP)
|
100% |
6323
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
5864
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1384
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9752
158.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10048
162.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6538
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
67000
78.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
65683
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1515
120.2 IPS |
|
|
Object Detection (HP)
|
99% |
7231
575.2 IPS |
|
|
Object Detection (Q)
|
91% |
6707
536.0 IPS |
|
|
Face Detection (SP)
|
100% |
3053
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
16459
195.6 IPS |
|
|
Face Detection (Q)
|
100% |
15216
180.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5821
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
47234
363.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
47558
371.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17136
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
120413
154.8 IPS |
|
|
Style Transfer (Q)
|
96% |
114821
148.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3764
139.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23307
860.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23910
882.9 IPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3930
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3910
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2473
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3247
55.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3430
59.3 IPS |
