iPhone 11 Pro Max
Geekbench AI Score
1671
Single Precision Score
3100
Half Precision Score
2573
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 29 2025 01:51 PM |
| Views | 3 |
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% |
798
148.4 IPS |
|
|
Image Classification (HP)
|
100% |
1356
252.3 IPS |
|
|
Image Classification (Q)
|
96% |
972
181.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
785
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1173
19.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1367
22.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3661
4.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
6666
7.78 IPS |
|
|
Pose Estimation (Q)
|
95% |
5926
6.95 IPS |
|
|
Object Detection (SP)
|
100% |
723
57.4 IPS |
|
|
Object Detection (HP)
|
97% |
1581
125.9 IPS |
|
|
Object Detection (Q)
|
94% |
1158
92.3 IPS |
|
|
Face Detection (SP)
|
100% |
1612
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
3115
37.0 IPS |
|
|
Face Detection (Q)
|
100% |
1826
21.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2985
23.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
5534
42.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
4120
32.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7454
9.58 IPS |
|
|
Style Transfer (HP)
|
100% |
14482
18.6 IPS |
|
|
Style Transfer (Q)
|
96% |
12459
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1846
68.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2582
95.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2065
76.3 IPS |
|
|
Text Classification (SP)
|
100% |
1292
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (Q)
|
93% |
2179
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1197
20.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3304
57.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3312
57.2 IPS |
