iPhone 14 Pro Max
Geekbench AI Score
3859
Single Precision Score
4285
Half Precision Score
3749
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | depot |
| Upload Date | February 15 2025 09:04 AM |
| Views | 34 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1661
308.9 IPS |
|
|
Image Classification (HP)
|
100% |
1507
280.3 IPS |
|
|
Image Classification (Q)
|
97% |
1420
265.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2238
36.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2527
41.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2500
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11670
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12344
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11389
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1905
151.1 IPS |
|
|
Object Detection (HP)
|
100% |
1921
152.4 IPS |
|
|
Object Detection (Q)
|
91% |
1517
121.2 IPS |
|
|
Face Detection (SP)
|
100% |
5123
60.9 IPS |
|
|
Face Detection (HP)
|
100% |
6181
73.4 IPS |
|
|
Face Detection (Q)
|
100% |
4081
48.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8421
64.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
8849
68.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7263
56.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21179
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23765
30.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22165
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4733
174.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4863
179.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3721
137.4 IPS |
|
|
Text Classification (SP)
|
100% |
2624
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4612
6.16 KIPS |
|
|
Text Classification (Q)
|
93% |
4592
6.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
782
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
794
13.7 IPS |
|
|
Machine Translation (Q)
|
98% |
798
13.8 IPS |
