iPad Pro (11-inch, 4th generation)
Geekbench AI Score
7026
Single Precision Score
7872
Half Precision Score
6911
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | IAMTESTING |
| Upload Date | January 11 2025 03:06 AM |
| Views | 9 |
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% |
3647
678.2 IPS |
|
|
Image Classification (HP)
|
100% |
3627
674.6 IPS |
|
|
Image Classification (Q)
|
97% |
2978
555.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4055
65.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5011
81.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5090
82.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
24745
28.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
26278
30.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24471
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
3693
292.9 IPS |
|
|
Object Detection (HP)
|
100% |
3689
292.6 IPS |
|
|
Object Detection (Q)
|
91% |
3039
242.9 IPS |
|
|
Face Detection (SP)
|
100% |
10384
123.4 IPS |
|
|
Face Detection (HP)
|
100% |
11976
142.3 IPS |
|
|
Face Detection (Q)
|
100% |
8363
99.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16790
129.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
17899
137.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
15074
117.8 IPS |
|
|
Style Transfer (SP)
|
100% |
43229
55.6 IPS |
|
|
Style Transfer (HP)
|
100% |
48654
62.5 IPS |
|
|
Style Transfer (Q)
|
96% |
45448
58.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9821
362.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10205
376.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8062
297.7 IPS |
|
|
Text Classification (SP)
|
100% |
2232
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3787
5.05 KIPS |
|
|
Text Classification (Q)
|
93% |
3764
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1314
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1288
22.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1269
21.9 IPS |
