iPad Pro (11-inch, 4th generation)
Geekbench AI Score
6921
Single Precision Score
7799
Half Precision Score
6860
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 12 2025 04:30 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
3601
669.6 IPS |
|
|
Image Classification (HP)
|
100% |
3611
671.5 IPS |
|
|
Image Classification (Q)
|
97% |
2962
552.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4068
65.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5039
81.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5111
82.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
24420
28.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
25990
30.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
24395
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
3433
272.3 IPS |
|
|
Object Detection (HP)
|
100% |
3666
290.8 IPS |
|
|
Object Detection (Q)
|
91% |
3046
243.4 IPS |
|
|
Face Detection (SP)
|
100% |
10375
123.3 IPS |
|
|
Face Detection (HP)
|
100% |
11894
141.3 IPS |
|
|
Face Detection (Q)
|
100% |
8274
98.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16640
128.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
17638
135.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
14787
115.6 IPS |
|
|
Style Transfer (SP)
|
100% |
42012
54.0 IPS |
|
|
Style Transfer (HP)
|
100% |
48377
62.2 IPS |
|
|
Style Transfer (Q)
|
96% |
45382
58.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9811
362.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10085
372.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7939
293.2 IPS |
|
|
Text Classification (SP)
|
100% |
2170
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
3693
4.93 KIPS |
|
|
Text Classification (Q)
|
93% |
3618
4.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
1331
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1272
21.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1288
22.3 IPS |
