iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3275
Single Precision Score
5434
Half Precision Score
4421
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Risto3 |
| Upload Date | November 06 2024 02:46 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,11 |
| Motherboard | J523xAP |
| 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 | 15.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1403
260.9 IPS |
|
|
Image Classification (HP)
|
100% |
2191
407.5 IPS |
|
|
Image Classification (Q)
|
96% |
1568
292.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1438
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2276
36.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2594
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6551
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
13891
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12017
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1518
120.4 IPS |
|
|
Object Detection (HP)
|
97% |
2439
194.2 IPS |
|
|
Object Detection (Q)
|
94% |
1793
142.9 IPS |
|
|
Face Detection (SP)
|
100% |
3039
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
5599
66.5 IPS |
|
|
Face Detection (Q)
|
100% |
3209
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5829
44.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11038
85.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7650
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17332
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26704
34.3 IPS |
|
|
Style Transfer (Q)
|
96% |
22138
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3819
141.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4644
171.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3400
125.5 IPS |
|
|
Text Classification (SP)
|
100% |
2337
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4044
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4037
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2583
44.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4288
74.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4370
75.5 IPS |
