iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4368
Single Precision Score
4670
Half Precision Score
4193
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | demonknight9 |
| Upload Date | August 16 2024 05:50 PM |
| Views | 6 |
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 | iPad13,6 |
| 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 | 7.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1596
296.7 IPS |
|
|
Image Classification (HP)
|
100% |
1743
324.2 IPS |
|
|
Image Classification (Q)
|
99% |
1626
303.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2630
42.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3510
56.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
3441
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16419
19.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17902
20.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
15980
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2516
199.6 IPS |
|
|
Object Detection (HP)
|
100% |
2585
205.0 IPS |
|
|
Object Detection (Q)
|
92% |
2074
165.6 IPS |
|
|
Face Detection (SP)
|
100% |
6302
74.9 IPS |
|
|
Face Detection (HP)
|
100% |
7721
91.7 IPS |
|
|
Face Detection (Q)
|
100% |
5356
63.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11864
91.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
13458
103.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
13293
102.8 IPS |
|
|
Style Transfer (SP)
|
100% |
28206
36.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33655
43.3 IPS |
|
|
Style Transfer (Q)
|
100% |
33245
42.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6205
229.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6998
258.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5442
201.6 IPS |
|
|
Text Classification (SP)
|
100% |
1275
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
822
1.10 KIPS |
|
|
Text Classification (Q)
|
93% |
821
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
875
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
868
15.0 IPS |
|
|
Machine Translation (Q)
|
98% |
858
14.8 IPS |
