iPhone 14 Pro Max
Geekbench AI Score
3936
Single Precision Score
4316
Half Precision Score
3240
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | GubbyMan |
| Upload Date | August 16 2024 09:10 PM |
| Views | 15 |
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% |
1656
307.9 IPS |
|
|
Image Classification (HP)
|
100% |
1484
276.0 IPS |
|
|
Image Classification (Q)
|
99% |
1567
292.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2272
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2554
41.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
2566
41.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11868
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12606
14.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
11458
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1975
156.7 IPS |
|
|
Object Detection (HP)
|
100% |
1919
152.2 IPS |
|
|
Object Detection (Q)
|
91% |
1528
122.1 IPS |
|
|
Face Detection (SP)
|
100% |
5448
64.7 IPS |
|
|
Face Detection (HP)
|
100% |
6063
72.0 IPS |
|
|
Face Detection (Q)
|
100% |
4119
48.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8572
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9084
70.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
1317
10.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21560
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
24009
30.9 IPS |
|
|
Style Transfer (Q)
|
100% |
23795
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4864
179.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4973
183.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3749
138.9 IPS |
|
|
Text Classification (SP)
|
100% |
2675
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4808
6.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4736
6.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
774
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
774
13.3 IPS |
|
|
Machine Translation (Q)
|
98% |
791
13.7 IPS |
