iPhone 14 Pro Max
Geekbench AI Score
3461
Single Precision Score
23077
Half Precision Score
26377
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 12:36 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1432
266.3 IPS |
|
|
Image Classification (HP)
|
100% |
10481
1.95 KIPS |
|
|
Image Classification (Q)
|
97% |
13036
2.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1410
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14992
243.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
17983
291.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6346
7.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
94660
110.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
102835
120.5 IPS |
|
|
Object Detection (SP)
|
100% |
1568
124.4 IPS |
|
|
Object Detection (HP)
|
100% |
12713
1.01 KIPS |
|
|
Object Detection (Q)
|
91% |
14678
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3058
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
30493
362.3 IPS |
|
|
Face Detection (Q)
|
100% |
40078
476.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6007
46.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
74511
574.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
96707
756.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17956
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
165538
212.8 IPS |
|
|
Style Transfer (Q)
|
96% |
169357
218.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4088
150.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32060
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36817
1.36 KIPS |
|
|
Text Classification (SP)
|
100% |
2655
3.54 KIPS |
|
|
Text Classification (HP)
|
100% |
2605
3.48 KIPS |
|
|
Text Classification (Q)
|
93% |
2474
3.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3432
59.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7213
124.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7706
133.2 IPS |
