iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3041
Single Precision Score
4680
Half Precision Score
4492
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 07:05 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 | 15.31 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1285
239.0 IPS |
|
|
Image Classification (HP)
|
100% |
1945
361.8 IPS |
|
|
Image Classification (Q)
|
96% |
1562
291.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1364
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1800
29.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2111
34.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4488
5.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
7998
9.33 IPS |
|
|
Pose Estimation (Q)
|
95% |
11864
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1397
110.8 IPS |
|
|
Object Detection (HP)
|
97% |
1878
149.5 IPS |
|
|
Object Detection (Q)
|
94% |
1959
156.2 IPS |
|
|
Face Detection (SP)
|
100% |
2338
27.8 IPS |
|
|
Face Detection (HP)
|
100% |
4637
55.1 IPS |
|
|
Face Detection (Q)
|
100% |
3369
40.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5293
40.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
8132
62.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7570
59.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17326
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28020
36.0 IPS |
|
|
Style Transfer (Q)
|
96% |
23316
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3931
145.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4815
177.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3568
131.7 IPS |
|
|
Text Classification (SP)
|
100% |
2241
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3494
4.66 KIPS |
|
|
Text Classification (Q)
|
93% |
3763
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3260
56.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5398
93.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5469
94.5 IPS |
