iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3242
Single Precision Score
15681
Half Precision Score
15318
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 05:01 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1395
259.4 IPS |
|
|
Image Classification (HP)
|
100% |
6149
1.14 KIPS |
|
|
Image Classification (Q)
|
96% |
5767
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1402
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9759
158.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10149
164.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6548
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
68522
80.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
65685
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1527
121.1 IPS |
|
|
Object Detection (HP)
|
99% |
7325
582.7 IPS |
|
|
Object Detection (Q)
|
91% |
6483
518.0 IPS |
|
|
Face Detection (SP)
|
100% |
3071
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
16661
198.0 IPS |
|
|
Face Detection (Q)
|
100% |
15336
182.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5824
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
46928
361.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
47790
373.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17196
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
120135
154.4 IPS |
|
|
Style Transfer (Q)
|
96% |
114405
147.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3747
138.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23064
851.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23837
880.2 IPS |
|
|
Text Classification (SP)
|
100% |
2296
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3819
5.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3793
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2486
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3609
62.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3766
65.1 IPS |
