iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3232
Single Precision Score
13477
Half Precision Score
13667
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | krdrever |
| Upload Date | August 18 2024 04:22 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1409
262.0 IPS |
|
|
Image Classification (HP)
|
100% |
5877
1.09 KIPS |
|
|
Image Classification (Q)
|
99% |
6102
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1435
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6152
99.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
6145
99.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6529
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
67278
78.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
64726
75.9 IPS |
|
|
Object Detection (SP)
|
100% |
1515
120.2 IPS |
|
|
Object Detection (HP)
|
99% |
6718
534.4 IPS |
|
|
Object Detection (Q)
|
91% |
6511
520.2 IPS |
|
|
Face Detection (SP)
|
100% |
3027
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
12612
149.9 IPS |
|
|
Face Detection (Q)
|
100% |
13695
162.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5799
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
43296
333.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
45322
350.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17149
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
116105
149.3 IPS |
|
|
Style Transfer (Q)
|
100% |
122024
156.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3750
138.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22659
836.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
22863
847.1 IPS |
|
|
Text Classification (SP)
|
100% |
2237
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3671
4.90 KIPS |
|
|
Text Classification (Q)
|
93% |
3637
4.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
2464
42.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2295
39.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2285
39.5 IPS |
