iPad Pro (11-inch 3rd generation)
Geekbench AI Score
2820
Single Precision Score
4295
Half Precision Score
3583
Quantized Score
Geekbench AI 1.0.0 Corporate for iOS AArch64
Result Information
| Upload Date | August 15 2024 03:37 AM |
| Views | 23 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
1260
234.4 IPS |
|
|
Image Classification (HP)
|
100% |
1695
315.2 IPS |
|
|
Image Classification (Q)
|
99% |
1687
314.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1148
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1167
18.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
1168
18.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5829
6.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
13421
15.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
11490
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1406
111.6 IPS |
|
|
Object Detection (HP)
|
97% |
1967
156.6 IPS |
|
|
Object Detection (Q)
|
94% |
1527
121.7 IPS |
|
|
Face Detection (SP)
|
100% |
2379
28.3 IPS |
|
|
Face Detection (HP)
|
100% |
4094
48.6 IPS |
|
|
Face Detection (Q)
|
100% |
2655
31.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5143
39.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8170
63.1 IPS |
|
|
Depth Estimation (Q)
|
96% |
4084
31.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15882
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
24836
31.9 IPS |
|
|
Style Transfer (Q)
|
100% |
24831
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3317
122.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4371
161.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3354
124.3 IPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3716
4.96 KIPS |
|
|
Text Classification (Q)
|
93% |
3687
4.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
1820
31.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3037
52.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3037
52.5 IPS |
