iPhone 11 Pro Max
Geekbench AI Score
1545
Single Precision Score
2994
Half Precision Score
2475
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 07 2025 04:16 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
755
140.4 IPS |
|
|
Image Classification (HP)
|
100% |
1355
252.0 IPS |
|
|
Image Classification (Q)
|
96% |
974
181.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
769
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1163
18.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1344
21.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2583
3.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
5412
6.31 IPS |
|
|
Pose Estimation (Q)
|
95% |
4776
5.60 IPS |
|
|
Object Detection (SP)
|
100% |
684
54.2 IPS |
|
|
Object Detection (HP)
|
97% |
1527
121.6 IPS |
|
|
Object Detection (Q)
|
94% |
1142
91.0 IPS |
|
|
Face Detection (SP)
|
100% |
1557
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
3108
36.9 IPS |
|
|
Face Detection (Q)
|
100% |
1780
21.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2659
20.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
5496
42.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
4028
31.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6587
8.47 IPS |
|
|
Style Transfer (HP)
|
100% |
14254
18.3 IPS |
|
|
Style Transfer (Q)
|
96% |
11936
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1893
69.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2571
94.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2057
76.0 IPS |
|
|
Text Classification (SP)
|
100% |
1292
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
2235
2.98 KIPS |
|
|
Text Classification (Q)
|
93% |
2174
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1136
19.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3177
54.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3160
54.6 IPS |
