iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3237
Single Precision Score
5309
Half Precision Score
4379
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 04:46 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1396
259.7 IPS |
|
|
Image Classification (HP)
|
100% |
2172
403.9 IPS |
|
|
Image Classification (Q)
|
96% |
1572
293.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1434
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2206
35.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2590
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6521
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
13936
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12050
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1507
119.6 IPS |
|
|
Object Detection (HP)
|
97% |
2445
194.6 IPS |
|
|
Object Detection (Q)
|
94% |
1800
143.5 IPS |
|
|
Face Detection (SP)
|
100% |
3052
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
5609
66.6 IPS |
|
|
Face Detection (Q)
|
100% |
3212
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5787
44.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11069
85.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7661
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17168
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26373
33.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22049
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3751
138.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4467
164.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3418
126.2 IPS |
|
|
Text Classification (SP)
|
100% |
2290
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3840
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3788
5.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2469
42.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3884
67.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4182
72.3 IPS |
