iPhone 14 Pro Max
Geekbench AI Score
2735
Single Precision Score
2811
Half Precision Score
1009
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 14 2024 04:31 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPhone 14 Pro Max |
| Model ID | iPhone15,3 |
| Motherboard | D74AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1225
227.8 IPS |
|
|
Image Classification (HP)
|
100% |
968
180.0 IPS |
|
|
Image Classification (Q)
|
97% |
894
166.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2194
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2464
39.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2466
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11498
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
12369
14.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
11138
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1279
101.5 IPS |
|
|
Object Detection (HP)
|
100% |
1272
100.9 IPS |
|
|
Object Detection (Q)
|
92% |
1102
88.0 IPS |
|
|
Face Detection (SP)
|
100% |
4161
49.4 IPS |
|
|
Face Detection (HP)
|
100% |
4466
53.1 IPS |
|
|
Face Detection (Q)
|
100% |
3793
45.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7882
60.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8799
67.8 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
53.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20358
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
22987
29.6 IPS |
|
|
Style Transfer (Q)
|
96% |
20450
26.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3686
136.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3469
128.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2990
110.4 IPS |
|
|
Text Classification (SP)
|
100% |
382
510.3 IPS |
|
|
Text Classification (HP)
|
100% |
368
491.5 IPS |
|
|
Text Classification (Q)
|
93% |
218
292.1 IPS |
|
|
Machine Translation (SP)
|
100% |
631
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
713
12.3 IPS |
|
|
Machine Translation (Q)
|
98% |
805
13.9 IPS |
