iPad Pro (11-inch 3rd generation)
Geekbench AI Score
2152
Single Precision Score
12347
Half Precision Score
10080
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 10 2024 09:12 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,5 |
| Motherboard | J517xAP |
| 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 | 15.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1085
201.9 IPS |
|
|
Image Classification (HP)
|
100% |
6339
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
5704
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
691
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4191
67.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
522
8.46 IPS |
|
|
Pose Estimation (SP)
|
100% |
5751
6.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
64837
75.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
64788
75.9 IPS |
|
|
Object Detection (SP)
|
100% |
1181
93.7 IPS |
|
|
Object Detection (HP)
|
99% |
7186
571.6 IPS |
|
|
Object Detection (Q)
|
93% |
6576
524.7 IPS |
|
|
Face Detection (SP)
|
100% |
2143
25.5 IPS |
|
|
Face Detection (HP)
|
100% |
12472
148.2 IPS |
|
|
Face Detection (Q)
|
100% |
12657
150.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3846
29.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
43348
334.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
51238
400.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10385
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
117475
151.0 IPS |
|
|
Style Transfer (Q)
|
96% |
111505
143.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2848
105.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17865
659.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20573
759.7 IPS |
|
|
Text Classification (SP)
|
100% |
1281
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2573
3.43 KIPS |
|
|
Text Classification (Q)
|
93% |
2527
3.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1345
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2279
39.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2272
39.3 IPS |
