iPad Pro (11-inch 3rd generation)
Geekbench AI Score
2940
Single Precision Score
14761
Half Precision Score
15143
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 13 2025 04:37 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1240
230.5 IPS |
|
|
Image Classification (HP)
|
100% |
5197
966.6 IPS |
|
|
Image Classification (Q)
|
96% |
5225
975.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
954
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8747
141.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9961
161.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5894
6.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
69886
81.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
67303
78.9 IPS |
|
|
Object Detection (SP)
|
100% |
1282
101.7 IPS |
|
|
Object Detection (HP)
|
99% |
7365
585.9 IPS |
|
|
Object Detection (Q)
|
91% |
6460
516.1 IPS |
|
|
Face Detection (SP)
|
100% |
2869
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
16281
193.4 IPS |
|
|
Face Detection (Q)
|
100% |
15377
182.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5548
42.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
47894
369.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
47611
372.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16869
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
112924
145.2 IPS |
|
|
Style Transfer (Q)
|
96% |
114433
147.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3622
133.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21244
784.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23713
875.6 IPS |
|
|
Text Classification (SP)
|
100% |
2261
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3632
4.85 KIPS |
|
|
Text Classification (Q)
|
93% |
3875
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2463
42.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3091
53.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3640
62.9 IPS |
