iPad Pro (11-inch 3rd generation)
Geekbench AI Score
2859
Single Precision Score
4335
Half Precision Score
3593
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | MrMage |
| Upload Date | August 20 2024 07:54 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1314
244.5 IPS |
|
|
Image Classification (HP)
|
100% |
1681
312.5 IPS |
|
|
Image Classification (Q)
|
99% |
1676
312.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1178
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1165
18.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
1169
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5855
6.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
13507
15.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
11524
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1400
111.1 IPS |
|
|
Object Detection (HP)
|
97% |
1968
156.7 IPS |
|
|
Object Detection (Q)
|
94% |
1519
121.1 IPS |
|
|
Face Detection (SP)
|
100% |
2408
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
4089
48.6 IPS |
|
|
Face Detection (Q)
|
100% |
2658
31.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5237
40.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8177
63.2 IPS |
|
|
Depth Estimation (Q)
|
96% |
4075
31.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16002
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
24883
32.0 IPS |
|
|
Style Transfer (Q)
|
100% |
24911
32.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3399
125.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4721
174.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3384
125.4 IPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3733
4.98 KIPS |
|
|
Text Classification (Q)
|
93% |
3738
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1824
31.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3071
53.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3071
53.1 IPS |
