iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3453
Single Precision Score
27214
Half Precision Score
30242
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | brett2032 |
| Upload Date | November 10 2024 06:47 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1372
255.1 IPS |
|
|
Image Classification (HP)
|
100% |
14202
2.64 KIPS |
|
|
Image Classification (Q)
|
96% |
14246
2.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1528
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18839
305.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23819
386.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6911
8.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
101759
118.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
105206
123.3 IPS |
|
|
Object Detection (SP)
|
100% |
1559
123.7 IPS |
|
|
Object Detection (HP)
|
99% |
15073
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
17056
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3160
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
32929
391.3 IPS |
|
|
Face Detection (Q)
|
100% |
41513
493.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5724
44.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
84674
652.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
105300
822.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18890
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
200908
258.3 IPS |
|
|
Style Transfer (Q)
|
96% |
186282
240.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4057
149.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38994
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48263
1.78 KIPS |
|
|
Text Classification (SP)
|
100% |
2181
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
3704
4.94 KIPS |
|
|
Text Classification (Q)
|
93% |
3608
4.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3535
60.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6711
115.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7412
128.1 IPS |
