iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3235
Single Precision Score
5304
Half Precision Score
4379
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 25 2024 09:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1395
259.4 IPS |
|
|
Image Classification (HP)
|
100% |
2180
405.4 IPS |
|
|
Image Classification (Q)
|
96% |
1561
291.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1393
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2210
35.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2589
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6538
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
13876
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11995
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1517
120.4 IPS |
|
|
Object Detection (HP)
|
97% |
2433
193.7 IPS |
|
|
Object Detection (Q)
|
94% |
1800
143.5 IPS |
|
|
Face Detection (SP)
|
100% |
3050
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
5595
66.5 IPS |
|
|
Face Detection (Q)
|
100% |
3218
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5819
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11054
85.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7647
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17201
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26256
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22096
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3764
139.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4378
161.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3373
124.5 IPS |
|
|
Text Classification (SP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3878
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3867
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2471
42.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3935
68.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4198
72.5 IPS |
