iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3452
Single Precision Score
5919
Half Precision Score
4790
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 03:13 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad Pro (11-inch, 4th generation) |
| Model ID | iPad14,3 |
| Motherboard | J617AP |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1382
257.1 IPS |
|
|
Image Classification (HP)
|
100% |
2489
462.9 IPS |
|
|
Image Classification (Q)
|
96% |
1740
324.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1520
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2447
39.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2822
45.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6890
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
14810
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12660
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1557
123.5 IPS |
|
|
Object Detection (HP)
|
97% |
2884
229.6 IPS |
|
|
Object Detection (Q)
|
94% |
2077
165.5 IPS |
|
|
Face Detection (SP)
|
100% |
3157
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
6195
73.6 IPS |
|
|
Face Detection (Q)
|
100% |
3543
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5704
43.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11651
90.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7985
62.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18883
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28430
36.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23709
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4061
149.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4806
177.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3568
131.7 IPS |
|
|
Text Classification (SP)
|
100% |
2201
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
3639
4.86 KIPS |
|
|
Text Classification (Q)
|
93% |
3609
4.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3513
60.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5659
97.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5713
98.7 IPS |
