iPhone 11 Pro Max
Geekbench AI Score
924
Single Precision Score
1127
Half Precision Score
520
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 25 2025 09:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
298
55.4 IPS |
|
|
Image Classification (HP)
|
100% |
352
65.4 IPS |
|
|
Image Classification (Q)
|
97% |
242
45.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
308
4.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
349
5.66 IPS |
|
|
Image Segmentation (Q)
|
99% |
343
5.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
2373
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3211
3.75 IPS |
|
|
Pose Estimation (Q)
|
95% |
1254
1.47 IPS |
|
|
Object Detection (SP)
|
100% |
619
49.1 IPS |
|
|
Object Detection (HP)
|
100% |
606
48.0 IPS |
|
|
Object Detection (Q)
|
94% |
298
23.8 IPS |
|
|
Face Detection (SP)
|
100% |
2613
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
3245
38.6 IPS |
|
|
Face Detection (Q)
|
100% |
391
4.64 IPS |
|
|
Depth Estimation (SP)
|
100% |
2508
19.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3493
26.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
1022
7.98 IPS |
|
|
Style Transfer (SP)
|
100% |
6078
7.81 IPS |
|
|
Style Transfer (HP)
|
100% |
8048
10.3 IPS |
|
|
Style Transfer (Q)
|
96% |
2147
2.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1182
43.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1305
48.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
459
16.9 IPS |
|
|
Text Classification (SP)
|
100% |
232
309.5 IPS |
|
|
Text Classification (HP)
|
100% |
406
541.4 IPS |
|
|
Text Classification (Q)
|
93% |
402
539.7 IPS |
|
|
Machine Translation (SP)
|
100% |
309
5.32 IPS |
|
|
Machine Translation (HP)
|
100% |
287
4.95 IPS |
|
|
Machine Translation (Q)
|
98% |
296
5.12 IPS |
