iPhone 14 Pro Max
Geekbench AI Score
3848
Single Precision Score
4253
Half Precision Score
3675
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 06 2024 08:09 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1613
300.0 IPS |
|
|
Image Classification (HP)
|
100% |
1499
278.7 IPS |
|
|
Image Classification (Q)
|
97% |
1338
249.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2243
36.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2526
40.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2499
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11616
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12278
14.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11419
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1885
149.5 IPS |
|
|
Object Detection (HP)
|
100% |
1844
146.3 IPS |
|
|
Object Detection (Q)
|
91% |
1447
115.6 IPS |
|
|
Face Detection (SP)
|
100% |
5296
62.9 IPS |
|
|
Face Detection (HP)
|
100% |
5903
70.1 IPS |
|
|
Face Detection (Q)
|
100% |
4001
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8437
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9069
69.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7023
54.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20838
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
23061
29.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21766
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4656
171.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4914
181.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3674
135.7 IPS |
|
|
Text Classification (SP)
|
100% |
2610
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4599
6.14 KIPS |
|
|
Text Classification (Q)
|
93% |
4679
6.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
796
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
810
14.0 IPS |
|
|
Machine Translation (Q)
|
98% |
774
13.4 IPS |
