iPad Pro (11-inch, 4th generation)
Geekbench AI Score
6977
Single Precision Score
7824
Half Precision Score
6650
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | dm_zharov |
| Upload Date | October 04 2024 08:37 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3630
675.1 IPS |
|
|
Image Classification (HP)
|
100% |
3606
670.6 IPS |
|
|
Image Classification (Q)
|
97% |
2677
499.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4063
65.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5014
81.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4996
81.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
24707
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26346
30.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24057
28.2 IPS |
|
|
Object Detection (SP)
|
100% |
3679
291.8 IPS |
|
|
Object Detection (HP)
|
100% |
3680
291.9 IPS |
|
|
Object Detection (Q)
|
91% |
2828
225.9 IPS |
|
|
Face Detection (SP)
|
100% |
10379
123.3 IPS |
|
|
Face Detection (HP)
|
100% |
11978
142.3 IPS |
|
|
Face Detection (Q)
|
100% |
8191
97.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16769
129.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
17781
137.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
13696
107.1 IPS |
|
|
Style Transfer (SP)
|
100% |
42380
54.5 IPS |
|
|
Style Transfer (HP)
|
100% |
48462
62.3 IPS |
|
|
Style Transfer (Q)
|
96% |
45233
58.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9889
365.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10092
372.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7765
286.7 IPS |
|
|
Text Classification (SP)
|
100% |
2155
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
3625
4.84 KIPS |
|
|
Text Classification (Q)
|
93% |
3606
4.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1298
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1299
22.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1309
22.6 IPS |
