iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3216
Single Precision Score
15374
Half Precision Score
15115
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | December 04 2024 03:58 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1392
258.9 IPS |
|
|
Image Classification (HP)
|
100% |
6161
1.15 KIPS |
|
|
Image Classification (Q)
|
96% |
5961
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1375
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9714
157.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10028
162.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6530
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
66945
78.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
65517
76.8 IPS |
|
|
Object Detection (SP)
|
100% |
1504
119.3 IPS |
|
|
Object Detection (HP)
|
99% |
7188
571.8 IPS |
|
|
Object Detection (Q)
|
91% |
6534
522.1 IPS |
|
|
Face Detection (SP)
|
100% |
3030
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
16396
194.8 IPS |
|
|
Face Detection (Q)
|
100% |
15138
179.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5822
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
46962
361.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
46582
364.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17156
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
119968
154.2 IPS |
|
|
Style Transfer (Q)
|
96% |
115991
149.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3763
138.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23157
855.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23278
859.6 IPS |
|
|
Text Classification (SP)
|
100% |
2240
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3754
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3803
5.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2474
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3190
54.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3361
58.1 IPS |
