iPhone 14 Pro Max
Geekbench AI Score
3886
Single Precision Score
4098
Half Precision Score
3762
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 15 2024 02:06 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1723
320.5 IPS |
|
|
Image Classification (HP)
|
100% |
1556
289.4 IPS |
|
|
Image Classification (Q)
|
97% |
1491
278.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2302
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2517
40.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2464
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11738
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12355
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11410
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1945
154.3 IPS |
|
|
Object Detection (HP)
|
100% |
1906
151.2 IPS |
|
|
Object Detection (Q)
|
91% |
1600
127.8 IPS |
|
|
Face Detection (SP)
|
100% |
5330
63.3 IPS |
|
|
Face Detection (HP)
|
100% |
6176
73.4 IPS |
|
|
Face Detection (Q)
|
100% |
4106
48.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8593
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8818
67.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7307
57.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21150
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23790
30.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21963
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4809
177.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4901
181.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3790
140.0 IPS |
|
|
Text Classification (SP)
|
100% |
2604
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4273
5.70 KIPS |
|
|
Text Classification (Q)
|
93% |
4382
5.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
715
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
535
9.21 IPS |
|
|
Machine Translation (Q)
|
98% |
775
13.4 IPS |
