iPad Pro (11-inch, 4th generation)
Geekbench AI Score
6976
Single Precision Score
7828
Half Precision Score
6854
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 10:23 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% |
3633
675.6 IPS |
|
|
Image Classification (HP)
|
100% |
3627
674.5 IPS |
|
|
Image Classification (Q)
|
97% |
3037
566.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4042
65.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5016
81.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5060
82.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
24700
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26285
30.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24471
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
3676
291.6 IPS |
|
|
Object Detection (HP)
|
100% |
3690
292.7 IPS |
|
|
Object Detection (Q)
|
91% |
3039
242.8 IPS |
|
|
Face Detection (SP)
|
100% |
10340
122.9 IPS |
|
|
Face Detection (HP)
|
100% |
11909
141.5 IPS |
|
|
Face Detection (Q)
|
100% |
8357
99.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16704
128.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
17853
137.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
14538
113.6 IPS |
|
|
Style Transfer (SP)
|
100% |
42615
54.8 IPS |
|
|
Style Transfer (HP)
|
100% |
48512
62.4 IPS |
|
|
Style Transfer (Q)
|
96% |
45411
58.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9792
361.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10128
374.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7967
294.2 IPS |
|
|
Text Classification (SP)
|
100% |
2179
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
3625
4.84 KIPS |
|
|
Text Classification (Q)
|
93% |
3600
4.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1304
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1294
22.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1266
21.9 IPS |
