iPad Pro (11-inch 3rd generation)
Geekbench AI Score
2129
Single Precision Score
12389
Half Precision Score
13016
Quantized Score
Geekbench AI 1.0.0 Corporate for iOS AArch64
Result Information
| Upload Date | August 11 2024 05:33 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| 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% |
1071
199.2 IPS |
|
|
Image Classification (HP)
|
100% |
6272
1.17 KIPS |
|
|
Image Classification (Q)
|
99% |
6429
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
684
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4251
68.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
4242
68.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5714
6.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
65148
76.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
64897
76.1 IPS |
|
|
Object Detection (SP)
|
100% |
1179
93.5 IPS |
|
|
Object Detection (HP)
|
99% |
6993
556.3 IPS |
|
|
Object Detection (Q)
|
93% |
6419
512.2 IPS |
|
|
Face Detection (SP)
|
100% |
2103
25.0 IPS |
|
|
Face Detection (HP)
|
100% |
12632
150.1 IPS |
|
|
Face Detection (Q)
|
100% |
12747
151.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3822
29.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
43810
337.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
45609
352.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10239
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
117419
150.9 IPS |
|
|
Style Transfer (Q)
|
100% |
123569
158.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2835
104.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17340
640.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
20139
746.1 IPS |
|
|
Text Classification (SP)
|
100% |
1281
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2751
3.67 KIPS |
|
|
Text Classification (Q)
|
93% |
3772
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1302
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2264
39.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2252
38.9 IPS |
