iPad Pro (11-inch, 4th generation)
Geekbench AI Score
6986
Single Precision Score
7794
Half Precision Score
6884
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 25 2024 09:07 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
3649
678.5 IPS |
|
|
Image Classification (HP)
|
100% |
3643
677.5 IPS |
|
|
Image Classification (Q)
|
97% |
3041
567.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4054
65.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5012
81.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5082
82.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
24745
28.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
26278
30.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24496
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
3682
292.0 IPS |
|
|
Object Detection (HP)
|
100% |
3689
292.6 IPS |
|
|
Object Detection (Q)
|
91% |
3054
244.0 IPS |
|
|
Face Detection (SP)
|
100% |
10381
123.3 IPS |
|
|
Face Detection (HP)
|
100% |
11946
141.9 IPS |
|
|
Face Detection (Q)
|
100% |
8374
99.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
16796
129.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
17852
137.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
14868
116.2 IPS |
|
|
Style Transfer (SP)
|
100% |
42024
54.0 IPS |
|
|
Style Transfer (HP)
|
100% |
48694
62.6 IPS |
|
|
Style Transfer (Q)
|
96% |
45428
58.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9865
364.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10111
373.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7965
294.1 IPS |
|
|
Text Classification (SP)
|
100% |
2197
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
3661
4.89 KIPS |
|
|
Text Classification (Q)
|
93% |
3644
4.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1294
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1217
21.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1260
21.8 IPS |
