iPhone 14 Pro Max
Geekbench AI Score
3847
Single Precision Score
4293
Half Precision Score
3718
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 29 2024 12:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1578
293.4 IPS |
|
|
Image Classification (HP)
|
100% |
1622
301.7 IPS |
|
|
Image Classification (Q)
|
97% |
1367
255.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2276
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2558
41.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2487
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11688
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12340
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11212
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1900
150.7 IPS |
|
|
Object Detection (HP)
|
100% |
1836
145.7 IPS |
|
|
Object Detection (Q)
|
91% |
1503
120.1 IPS |
|
|
Face Detection (SP)
|
100% |
5390
64.0 IPS |
|
|
Face Detection (HP)
|
100% |
6294
74.8 IPS |
|
|
Face Detection (Q)
|
100% |
4123
49.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8398
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9030
69.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7210
56.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20989
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23459
30.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21959
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4527
167.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4600
169.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3679
135.9 IPS |
|
|
Text Classification (SP)
|
100% |
2615
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4598
6.14 KIPS |
|
|
Text Classification (Q)
|
93% |
4587
6.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
792
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
803
13.8 IPS |
|
|
Machine Translation (Q)
|
98% |
800
13.8 IPS |
