iPad Pro (11-inch, 4th generation)
Geekbench AI Score
7002
Single Precision Score
8002
Half Precision Score
6940
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | KeviNW000 |
| Upload Date | November 10 2024 08:40 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad Pro (11-inch, 4th generation) |
| Model ID | iPad14,3 |
| Motherboard | J617AP |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3733
694.2 IPS |
|
|
Image Classification (HP)
|
100% |
3643
677.6 IPS |
|
|
Image Classification (Q)
|
97% |
3099
578.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4070
66.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5025
81.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
5151
83.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
24822
29.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
26326
30.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24498
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
3696
293.2 IPS |
|
|
Object Detection (HP)
|
100% |
3788
300.5 IPS |
|
|
Object Detection (Q)
|
91% |
3082
246.3 IPS |
|
|
Face Detection (SP)
|
100% |
10465
124.3 IPS |
|
|
Face Detection (HP)
|
100% |
12010
142.7 IPS |
|
|
Face Detection (Q)
|
100% |
8424
100.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17049
131.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
18134
139.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
15103
118.1 IPS |
|
|
Style Transfer (SP)
|
100% |
43101
55.4 IPS |
|
|
Style Transfer (HP)
|
100% |
48738
62.7 IPS |
|
|
Style Transfer (Q)
|
96% |
45393
58.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10143
374.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10705
395.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8021
296.2 IPS |
|
|
Text Classification (SP)
|
100% |
2172
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
3676
4.91 KIPS |
|
|
Text Classification (Q)
|
93% |
3655
4.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1200
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1413
24.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1271
22.0 IPS |
