iPad Pro (11-inch 3rd generation)
Geekbench AI Score
2147
Single Precision Score
12746
Half Precision Score
10000
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 05:05 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| 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% |
1083
201.4 IPS |
|
|
Image Classification (HP)
|
100% |
6299
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5631
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
690
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4229
68.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
522
8.46 IPS |
|
|
Pose Estimation (SP)
|
100% |
5747
6.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
65687
76.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
64546
75.7 IPS |
|
|
Object Detection (SP)
|
100% |
1178
93.4 IPS |
|
|
Object Detection (HP)
|
99% |
7154
569.1 IPS |
|
|
Object Detection (Q)
|
93% |
6541
521.9 IPS |
|
|
Face Detection (SP)
|
100% |
2144
25.5 IPS |
|
|
Face Detection (HP)
|
100% |
12496
148.5 IPS |
|
|
Face Detection (Q)
|
100% |
12797
152.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3838
29.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
43346
334.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
51197
400.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10281
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
116571
149.9 IPS |
|
|
Style Transfer (Q)
|
96% |
110808
143.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2850
105.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17865
659.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20501
757.0 IPS |
|
|
Text Classification (SP)
|
100% |
1267
1.69 KIPS |
|
|
Text Classification (HP)
|
100% |
3520
4.70 KIPS |
|
|
Text Classification (Q)
|
93% |
2391
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1348
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2278
39.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2265
39.1 IPS |
