iPad Pro (11-inch 3rd generation)
Geekbench AI Score
2865
Single Precision Score
4329
Half Precision Score
3605
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | saiht |
| Upload Date | August 15 2024 06:29 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,6 |
| Motherboard | J518AP |
| 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 | 7.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1319
245.3 IPS |
|
|
Image Classification (HP)
|
100% |
1698
315.7 IPS |
|
|
Image Classification (Q)
|
99% |
1691
315.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1185
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1170
19.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
1169
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5855
6.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
13517
15.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
11522
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1414
112.2 IPS |
|
|
Object Detection (HP)
|
97% |
1980
157.7 IPS |
|
|
Object Detection (Q)
|
94% |
1535
122.4 IPS |
|
|
Face Detection (SP)
|
100% |
2435
28.9 IPS |
|
|
Face Detection (HP)
|
100% |
4117
48.9 IPS |
|
|
Face Detection (Q)
|
100% |
2671
31.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5229
40.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8181
63.2 IPS |
|
|
Depth Estimation (Q)
|
96% |
4097
31.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16005
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
24928
32.0 IPS |
|
|
Style Transfer (Q)
|
100% |
25005
32.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3409
125.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4432
163.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3361
124.5 IPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3772
5.03 KIPS |
|
|
Text Classification (Q)
|
93% |
3730
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1809
31.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3103
53.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3097
53.5 IPS |
