iPhone 11 Pro Max
Geekbench AI Score
1138
Single Precision Score
3578
Half Precision Score
742
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 06 2025 04:42 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
548
101.9 IPS |
|
|
Image Classification (HP)
|
100% |
2746
510.6 IPS |
|
|
Image Classification (Q)
|
97% |
278
51.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
436
7.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
491
7.96 IPS |
|
|
Image Segmentation (Q)
|
99% |
314
5.09 IPS |
|
|
Pose Estimation (SP)
|
100% |
3382
3.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
28378
33.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
3600
4.22 IPS |
|
|
Object Detection (SP)
|
100% |
571
45.3 IPS |
|
|
Object Detection (HP)
|
100% |
2507
198.9 IPS |
|
|
Object Detection (Q)
|
94% |
294
23.4 IPS |
|
|
Face Detection (SP)
|
100% |
1146
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
7216
85.7 IPS |
|
|
Face Detection (Q)
|
100% |
403
4.79 IPS |
|
|
Depth Estimation (SP)
|
100% |
1214
9.36 IPS |
|
|
Depth Estimation (HP)
|
99% |
21521
165.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
961
7.50 IPS |
|
|
Style Transfer (SP)
|
100% |
5076
6.53 IPS |
|
|
Style Transfer (HP)
|
100% |
10552
13.6 IPS |
|
|
Style Transfer (Q)
|
96% |
4587
5.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1724
63.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4399
162.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
635
23.4 IPS |
|
|
Text Classification (SP)
|
100% |
769
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
462
616.0 IPS |
|
|
Text Classification (Q)
|
93% |
459
615.4 IPS |
|
|
Machine Translation (SP)
|
100% |
849
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1078
18.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1071
18.5 IPS |
