iPad Pro (11-inch, 4th generation)
Geekbench AI Score
2348
Single Precision Score
12181
Half Precision Score
13517
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 10 2024 11:19 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1255
233.4 IPS |
|
|
Image Classification (HP)
|
100% |
7247
1.35 KIPS |
|
|
Image Classification (Q)
|
96% |
7358
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
750
12.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5145
83.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8170
132.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5990
6.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
86560
101.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
89031
104.3 IPS |
|
|
Object Detection (SP)
|
100% |
1357
107.6 IPS |
|
|
Object Detection (HP)
|
99% |
8334
663.0 IPS |
|
|
Object Detection (Q)
|
93% |
8711
695.1 IPS |
|
|
Face Detection (SP)
|
100% |
2452
29.1 IPS |
|
|
Face Detection (HP)
|
100% |
11318
134.5 IPS |
|
|
Face Detection (Q)
|
100% |
13156
156.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4131
31.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
47859
368.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
58636
458.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11054
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
137876
177.2 IPS |
|
|
Style Transfer (Q)
|
95% |
124768
161.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3146
116.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18951
699.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24302
897.4 IPS |
|
|
Text Classification (SP)
|
100% |
1188
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
804
1.07 KIPS |
|
|
Text Classification (Q)
|
93% |
796
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1594
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2351
40.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2347
40.6 IPS |
