AVP GPU iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4786
Single Precision Score
5304
Half Precision Score
1102
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | BrentCato001 |
| Upload Date | November 20 2024 07:02 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2491
463.3 IPS |
|
|
Image Classification (HP)
|
100% |
2597
483.0 IPS |
|
|
Image Classification (Q)
|
97% |
375
70.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
636
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
578
9.37 IPS |
|
|
Image Segmentation (Q)
|
99% |
435
7.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
18404
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
21349
24.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
3803
4.46 IPS |
|
|
Object Detection (SP)
|
100% |
2856
226.5 IPS |
|
|
Object Detection (HP)
|
100% |
2869
227.5 IPS |
|
|
Object Detection (Q)
|
92% |
323
25.7 IPS |
|
|
Face Detection (SP)
|
100% |
7605
90.4 IPS |
|
|
Face Detection (HP)
|
100% |
8946
106.3 IPS |
|
|
Face Detection (Q)
|
100% |
571
6.79 IPS |
|
|
Depth Estimation (SP)
|
100% |
13140
101.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
14007
107.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
1329
10.4 IPS |
|
|
Style Transfer (SP)
|
100% |
35903
46.2 IPS |
|
|
Style Transfer (HP)
|
100% |
42400
54.5 IPS |
|
|
Style Transfer (Q)
|
96% |
5860
7.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7314
270.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7850
289.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
696
25.7 IPS |
|
|
Text Classification (SP)
|
100% |
2227
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3764
5.02 KIPS |
|
|
Text Classification (Q)
|
93% |
3753
5.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1298
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1222
21.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1142
19.7 IPS |
