iPhone 14 Pro Max
Geekbench AI Score
3530
Single Precision Score
21642
Half Precision Score
23930
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 17 2024 11:07 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1429
265.8 IPS |
|
|
Image Classification (HP)
|
100% |
10179
1.89 KIPS |
|
|
Image Classification (Q)
|
97% |
12343
2.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1432
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14143
229.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
17906
290.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7063
8.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
95304
111.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
100947
118.3 IPS |
|
|
Object Detection (SP)
|
100% |
1574
124.9 IPS |
|
|
Object Detection (HP)
|
100% |
12355
980.0 IPS |
|
|
Object Detection (Q)
|
91% |
14047
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
3059
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
31096
369.5 IPS |
|
|
Face Detection (Q)
|
100% |
38768
460.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6250
48.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
74808
576.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
94185
736.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18781
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
164484
211.4 IPS |
|
|
Style Transfer (Q)
|
96% |
166150
214.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4198
155.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32676
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35159
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
2561
3.42 KIPS |
|
|
Text Classification (HP)
|
100% |
1928
2.57 KIPS |
|
|
Text Classification (Q)
|
93% |
1554
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3425
59.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5518
95.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5930
102.5 IPS |
