iPad Pro (11-inch, 4th generation)
Geekbench AI Score
7099
Single Precision Score
8029
Half Precision Score
6912
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 03:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3650
678.8 IPS |
|
|
Image Classification (HP)
|
100% |
3648
678.3 IPS |
|
|
Image Classification (Q)
|
97% |
3010
561.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4064
65.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5007
81.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5078
82.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
24709
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26307
30.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24506
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
3689
292.6 IPS |
|
|
Object Detection (HP)
|
100% |
3721
295.1 IPS |
|
|
Object Detection (Q)
|
91% |
3045
243.3 IPS |
|
|
Face Detection (SP)
|
100% |
10405
123.6 IPS |
|
|
Face Detection (HP)
|
100% |
11945
141.9 IPS |
|
|
Face Detection (Q)
|
100% |
8390
99.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16914
130.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17938
138.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
14834
116.0 IPS |
|
|
Style Transfer (SP)
|
100% |
42662
54.8 IPS |
|
|
Style Transfer (HP)
|
100% |
48608
62.5 IPS |
|
|
Style Transfer (Q)
|
96% |
45384
58.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9892
365.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10127
374.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7973
294.4 IPS |
|
|
Text Classification (SP)
|
100% |
2141
2.86 KIPS |
|
|
Text Classification (HP)
|
100% |
3708
4.95 KIPS |
|
|
Text Classification (Q)
|
93% |
3714
4.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1514
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1593
27.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1305
22.6 IPS |
