iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3264
Single Precision Score
5429
Half Precision Score
4409
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | hrdc0r3 |
| Upload Date | January 09 2025 03:50 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
1392
258.8 IPS |
|
|
Image Classification (HP)
|
100% |
2189
407.2 IPS |
|
|
Image Classification (Q)
|
96% |
1557
290.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1428
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2265
36.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2552
41.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6535
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
13871
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11985
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1508
119.6 IPS |
|
|
Object Detection (HP)
|
97% |
2441
194.3 IPS |
|
|
Object Detection (Q)
|
94% |
1785
142.3 IPS |
|
|
Face Detection (SP)
|
100% |
3059
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
5609
66.6 IPS |
|
|
Face Detection (Q)
|
100% |
3215
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5798
44.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11062
85.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7641
59.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17337
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26692
34.3 IPS |
|
|
Style Transfer (Q)
|
96% |
22114
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3835
141.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4643
171.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3409
125.9 IPS |
|
|
Text Classification (SP)
|
100% |
2328
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4042
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4023
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2555
44.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4270
73.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4391
75.9 IPS |
