iPhone 14 Pro Max
Geekbench AI Score
2233
Single Precision Score
12680
Half Precision Score
14557
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 11:09 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | 5.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1191
221.5 IPS |
|
|
Image Classification (HP)
|
100% |
5744
1.07 KIPS |
|
|
Image Classification (Q)
|
97% |
6384
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
695
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5007
81.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8984
145.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5446
6.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
80659
94.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
85920
100.7 IPS |
|
|
Object Detection (SP)
|
100% |
1262
100.1 IPS |
|
|
Object Detection (HP)
|
100% |
7556
599.3 IPS |
|
|
Object Detection (Q)
|
93% |
8347
666.0 IPS |
|
|
Face Detection (SP)
|
100% |
2045
24.3 IPS |
|
|
Face Detection (HP)
|
100% |
10422
123.8 IPS |
|
|
Face Detection (Q)
|
100% |
12529
148.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3894
30.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
42666
328.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
51328
401.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10206
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
121246
155.9 IPS |
|
|
Style Transfer (Q)
|
96% |
113976
147.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3041
112.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17039
629.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21340
788.0 IPS |
|
|
Text Classification (SP)
|
100% |
1370
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
3059
4.08 KIPS |
|
|
Text Classification (Q)
|
93% |
3198
4.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1603
27.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2183
37.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2077
35.9 IPS |
