iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
2147
Single Precision Score
12329
Half Precision Score
12448
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | ragnarokchan |
| Upload Date | August 16 2024 01:12 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,10 |
| Motherboard | J523AP |
| 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 | 7.31 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1082
201.2 IPS |
|
|
Image Classification (HP)
|
100% |
6367
1.18 KIPS |
|
|
Image Classification (Q)
|
99% |
6417
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
695
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4114
66.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
4112
66.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5760
6.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
67397
78.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
64363
75.5 IPS |
|
|
Object Detection (SP)
|
100% |
1181
93.6 IPS |
|
|
Object Detection (HP)
|
99% |
7157
569.4 IPS |
|
|
Object Detection (Q)
|
93% |
6343
506.1 IPS |
|
|
Face Detection (SP)
|
100% |
2090
24.8 IPS |
|
|
Face Detection (HP)
|
100% |
12485
148.3 IPS |
|
|
Face Detection (Q)
|
100% |
12577
149.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3835
29.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
43500
335.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
47084
364.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10357
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
117016
150.4 IPS |
|
|
Style Transfer (Q)
|
100% |
123032
158.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2850
105.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17856
659.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
20154
746.7 IPS |
|
|
Text Classification (SP)
|
100% |
1273
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
2506
3.34 KIPS |
|
|
Text Classification (Q)
|
93% |
2515
3.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1354
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2259
38.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2246
38.8 IPS |
