iPhone 11 Pro Max
Geekbench AI Score
1697
Single Precision Score
3108
Half Precision Score
2581
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 31 2025 01:13 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
805
149.7 IPS |
|
|
Image Classification (HP)
|
100% |
1362
253.4 IPS |
|
|
Image Classification (Q)
|
96% |
971
181.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
784
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1177
19.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1366
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3687
4.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
6728
7.85 IPS |
|
|
Pose Estimation (Q)
|
95% |
5981
7.01 IPS |
|
|
Object Detection (SP)
|
100% |
731
58.0 IPS |
|
|
Object Detection (HP)
|
97% |
1583
126.0 IPS |
|
|
Object Detection (Q)
|
94% |
1158
92.3 IPS |
|
|
Face Detection (SP)
|
100% |
1631
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
3134
37.2 IPS |
|
|
Face Detection (Q)
|
100% |
1841
21.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3043
23.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
5536
42.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
4129
32.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7759
9.97 IPS |
|
|
Style Transfer (HP)
|
100% |
14623
18.8 IPS |
|
|
Style Transfer (Q)
|
96% |
12466
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1922
71.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2591
95.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2064
76.2 IPS |
|
|
Text Classification (SP)
|
100% |
1293
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2235
2.98 KIPS |
|
|
Text Classification (Q)
|
93% |
2220
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1220
21.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3359
58.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3291
56.9 IPS |
