iPhone 14 Pro Max
Geekbench AI Score
3109
Single Precision Score
3388
Half Precision Score
1205
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 11:06 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
1460
271.4 IPS |
|
|
Image Classification (HP)
|
100% |
1546
287.5 IPS |
|
|
Image Classification (Q)
|
97% |
1338
249.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2229
36.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2508
40.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2431
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11030
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10749
12.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
10477
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
1805
143.2 IPS |
|
|
Object Detection (HP)
|
100% |
1929
153.0 IPS |
|
|
Object Detection (Q)
|
92% |
1491
119.0 IPS |
|
|
Face Detection (SP)
|
100% |
5279
62.7 IPS |
|
|
Face Detection (HP)
|
100% |
5873
69.8 IPS |
|
|
Face Detection (Q)
|
100% |
3898
46.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8407
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8874
68.4 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
54.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20838
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
22697
29.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21542
27.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4495
166.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4947
182.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3848
142.1 IPS |
|
|
Text Classification (SP)
|
100% |
371
494.9 IPS |
|
|
Text Classification (HP)
|
100% |
368
491.0 IPS |
|
|
Text Classification (Q)
|
93% |
281
377.5 IPS |
|
|
Machine Translation (SP)
|
100% |
846
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1152
19.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1409
24.3 IPS |
