iPhone 11 Pro Max
Geekbench AI Score
918
Single Precision Score
1119
Half Precision Score
511
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 05:02 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
289
53.8 IPS |
|
|
Image Classification (HP)
|
100% |
360
66.9 IPS |
|
|
Image Classification (Q)
|
97% |
244
45.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
321
5.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
353
5.72 IPS |
|
|
Image Segmentation (Q)
|
99% |
349
5.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
2375
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3208
3.74 IPS |
|
|
Pose Estimation (Q)
|
95% |
1315
1.54 IPS |
|
|
Object Detection (SP)
|
100% |
650
51.5 IPS |
|
|
Object Detection (HP)
|
100% |
649
51.5 IPS |
|
|
Object Detection (Q)
|
94% |
301
24.0 IPS |
|
|
Face Detection (SP)
|
100% |
2718
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
3361
39.9 IPS |
|
|
Face Detection (Q)
|
100% |
401
4.76 IPS |
|
|
Depth Estimation (SP)
|
100% |
2506
19.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3487
26.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
1052
8.22 IPS |
|
|
Style Transfer (SP)
|
100% |
6171
7.93 IPS |
|
|
Style Transfer (HP)
|
100% |
8570
11.0 IPS |
|
|
Style Transfer (Q)
|
96% |
2078
2.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1193
44.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1299
48.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
463
17.1 IPS |
|
|
Text Classification (SP)
|
100% |
228
304.8 IPS |
|
|
Text Classification (HP)
|
100% |
411
548.7 IPS |
|
|
Text Classification (Q)
|
93% |
414
555.1 IPS |
|
|
Machine Translation (SP)
|
100% |
260
4.49 IPS |
|
|
Machine Translation (HP)
|
100% |
218
3.75 IPS |
|
|
Machine Translation (Q)
|
98% |
215
3.72 IPS |
