iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3453
Single Precision Score
23150
Half Precision Score
25052
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | dm_zharov |
| Upload Date | October 04 2024 08:35 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1370
254.7 IPS |
|
|
Image Classification (HP)
|
100% |
14800
2.75 KIPS |
|
|
Image Classification (Q)
|
96% |
15214
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1526
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9744
158.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10857
176.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6880
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
105685
123.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
104674
122.7 IPS |
|
|
Object Detection (SP)
|
100% |
1559
123.7 IPS |
|
|
Object Detection (HP)
|
99% |
14967
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
17159
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3156
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
33094
393.2 IPS |
|
|
Face Detection (Q)
|
100% |
41631
494.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5665
43.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
84562
651.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
103163
806.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18891
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
201238
258.7 IPS |
|
|
Style Transfer (Q)
|
96% |
187773
242.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4053
149.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38974
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47033
1.74 KIPS |
|
|
Text Classification (SP)
|
100% |
2210
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
3706
4.95 KIPS |
|
|
Text Classification (Q)
|
93% |
3635
4.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3562
61.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2383
41.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2381
41.1 IPS |
