iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4430
Single Precision Score
4510
Half Precision Score
4134
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | MrMage |
| Upload Date | August 20 2024 07:43 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1916
356.3 IPS |
|
|
Image Classification (HP)
|
100% |
1282
238.5 IPS |
|
|
Image Classification (Q)
|
99% |
1352
252.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2624
42.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3499
56.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
3450
55.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16229
18.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
17774
20.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
16156
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2560
203.1 IPS |
|
|
Object Detection (HP)
|
100% |
2575
204.2 IPS |
|
|
Object Detection (Q)
|
92% |
2104
168.0 IPS |
|
|
Face Detection (SP)
|
100% |
6528
77.6 IPS |
|
|
Face Detection (HP)
|
100% |
7702
91.5 IPS |
|
|
Face Detection (Q)
|
100% |
5557
66.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11839
91.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
13444
103.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
13259
102.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27467
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33207
42.7 IPS |
|
|
Style Transfer (Q)
|
100% |
33788
43.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6067
224.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6940
256.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5324
197.2 IPS |
|
|
Text Classification (SP)
|
100% |
1269
1.69 KIPS |
|
|
Text Classification (HP)
|
100% |
821
1.10 KIPS |
|
|
Text Classification (Q)
|
93% |
815
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
853
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
867
14.9 IPS |
|
|
Machine Translation (Q)
|
98% |
852
14.7 IPS |
