iPad Pro (11-inch 3rd generation)
Geekbench AI Score
2157
Single Precision Score
12349
Half Precision Score
10171
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Netsat |
| Upload Date | September 06 2024 07:07 AM |
| Views | 2 |
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 | iPad13,4 |
| 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% |
1086
201.9 IPS |
|
|
Image Classification (HP)
|
100% |
6318
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5765
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
692
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4233
68.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
525
8.52 IPS |
|
|
Pose Estimation (SP)
|
100% |
5758
6.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
64925
75.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
64972
76.2 IPS |
|
|
Object Detection (SP)
|
100% |
1193
94.6 IPS |
|
|
Object Detection (HP)
|
99% |
7143
568.2 IPS |
|
|
Object Detection (Q)
|
93% |
6798
542.4 IPS |
|
|
Face Detection (SP)
|
100% |
2145
25.5 IPS |
|
|
Face Detection (HP)
|
100% |
12468
148.1 IPS |
|
|
Face Detection (Q)
|
100% |
12795
152.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3857
29.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
44406
342.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
52237
408.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10377
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
117405
150.9 IPS |
|
|
Style Transfer (Q)
|
96% |
111296
143.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2867
105.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17871
659.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20858
770.2 IPS |
|
|
Text Classification (SP)
|
100% |
1273
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
2521
3.37 KIPS |
|
|
Text Classification (Q)
|
93% |
2492
3.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1350
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2271
39.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2293
39.6 IPS |
