iPad Pro (11-inch 3rd generation)
Geekbench AI Score
2856
Single Precision Score
4322
Half Precision Score
3731
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 12 2024 03:03 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1318
245.0 IPS |
|
|
Image Classification (HP)
|
100% |
1694
315.1 IPS |
|
|
Image Classification (Q)
|
96% |
1289
240.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1177
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1172
19.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1684
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5862
6.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
13498
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11667
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1405
111.4 IPS |
|
|
Object Detection (HP)
|
97% |
1966
156.5 IPS |
|
|
Object Detection (Q)
|
94% |
1529
121.8 IPS |
|
|
Face Detection (SP)
|
100% |
2400
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
4101
48.7 IPS |
|
|
Face Detection (Q)
|
100% |
2651
31.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5226
40.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
8154
63.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
6151
48.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15967
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
24917
32.0 IPS |
|
|
Style Transfer (Q)
|
96% |
20938
27.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3399
125.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4422
163.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3421
126.3 IPS |
|
|
Text Classification (SP)
|
100% |
2287
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3791
5.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3749
5.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1820
31.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3095
53.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3090
53.4 IPS |
