iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4416
Single Precision Score
4593
Half Precision Score
4231
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | saiht |
| Upload Date | August 15 2024 09:23 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
1830
340.3 IPS |
|
|
Image Classification (HP)
|
100% |
1535
285.5 IPS |
|
|
Image Classification (Q)
|
99% |
1639
305.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2655
43.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3512
56.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
3465
56.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16174
18.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
17645
20.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
16185
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2513
199.3 IPS |
|
|
Object Detection (HP)
|
100% |
2543
201.7 IPS |
|
|
Object Detection (Q)
|
92% |
2090
166.8 IPS |
|
|
Face Detection (SP)
|
100% |
6406
76.1 IPS |
|
|
Face Detection (HP)
|
100% |
7700
91.5 IPS |
|
|
Face Detection (Q)
|
100% |
5574
66.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11982
92.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
13374
103.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
13403
103.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27532
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
33109
42.6 IPS |
|
|
Style Transfer (Q)
|
100% |
33514
43.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6149
227.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7043
260.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5326
197.3 IPS |
|
|
Text Classification (SP)
|
100% |
1273
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
822
1.10 KIPS |
|
|
Text Classification (Q)
|
93% |
818
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
864
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
875
15.1 IPS |
|
|
Machine Translation (Q)
|
98% |
878
15.2 IPS |
