iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4853
Single Precision Score
5696
Half Precision Score
5012
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Mulva |
| Upload Date | February 01 2025 07:41 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1918
356.7 IPS |
|
|
Image Classification (HP)
|
100% |
2064
383.8 IPS |
|
|
Image Classification (Q)
|
97% |
1934
360.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2720
44.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3632
58.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3697
59.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
17006
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18217
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16883
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
2733
216.8 IPS |
|
|
Object Detection (HP)
|
100% |
2732
216.7 IPS |
|
|
Object Detection (Q)
|
91% |
2231
178.2 IPS |
|
|
Face Detection (SP)
|
100% |
6894
81.9 IPS |
|
|
Face Detection (HP)
|
100% |
8501
101.0 IPS |
|
|
Face Detection (Q)
|
100% |
5796
68.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12294
94.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
13751
105.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
11485
89.8 IPS |
|
|
Style Transfer (SP)
|
100% |
29008
37.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35143
45.2 IPS |
|
|
Style Transfer (Q)
|
96% |
32092
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6370
235.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7173
264.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5414
199.9 IPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3868
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3842
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
835
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
846
14.6 IPS |
|
|
Machine Translation (Q)
|
98% |
836
14.4 IPS |
