iPhone 11 Pro Max
Geekbench AI Score
932
Single Precision Score
990
Half Precision Score
90
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 07 2024 11:41 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone 11 Pro Max |
| Model ID | iPhone12,5 |
| Motherboard | D431AP |
| CPU Information | |
|---|---|
| Name | Apple A13 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.66 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
479
89.1 IPS |
|
|
Image Classification (HP)
|
100% |
527
98.0 IPS |
|
|
Image Classification (Q)
|
97% |
214
39.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
322
5.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
343
5.56 IPS |
|
|
Image Segmentation (Q)
|
99% |
316
5.12 IPS |
|
|
Pose Estimation (SP)
|
100% |
2181
2.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
2442
2.85 IPS |
|
|
Pose Estimation (Q)
|
0
|
||
|
Object Detection (SP)
|
100% |
689
54.6 IPS |
|
|
Object Detection (HP)
|
100% |
1014
80.4 IPS |
|
|
Object Detection (Q)
|
94% |
197
15.7 IPS |
|
|
Face Detection (SP)
|
100% |
2500
29.7 IPS |
|
|
Face Detection (HP)
|
100% |
3584
42.6 IPS |
|
|
Face Detection (Q)
|
100% |
170
2.02 IPS |
|
|
Depth Estimation (SP)
|
100% |
2506
19.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3448
26.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
504
3.94 IPS |
|
|
Style Transfer (SP)
|
100% |
6071
7.80 IPS |
|
|
Style Transfer (HP)
|
100% |
7271
9.35 IPS |
|
|
Style Transfer (Q)
|
96% |
1372
1.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1279
47.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1563
57.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
200
7.39 IPS |
|
|
Text Classification (SP)
|
100% |
174
232.3 IPS |
|
|
Text Classification (HP)
|
100% |
59
79.3 IPS |
|
|
Text Classification (Q)
|
93% |
119
160.3 IPS |
|
|
Machine Translation (SP)
|
100% |
253
4.35 IPS |
|
|
Machine Translation (HP)
|
100% |
244
4.21 IPS |
|
|
Machine Translation (Q)
|
0
|
