iPhone 14 Pro Max
Geekbench AI Score
3540
Single Precision Score
6058
Half Precision Score
4907
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 15 2024 10:51 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1435
266.8 IPS |
|
|
Image Classification (HP)
|
100% |
2520
468.7 IPS |
|
|
Image Classification (Q)
|
96% |
1734
323.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1435
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2145
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2686
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7072
8.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
15422
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12939
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1574
124.9 IPS |
|
|
Object Detection (HP)
|
97% |
2905
231.3 IPS |
|
|
Object Detection (Q)
|
94% |
2044
163.0 IPS |
|
|
Face Detection (SP)
|
100% |
3080
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
6002
71.3 IPS |
|
|
Face Detection (Q)
|
100% |
3464
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6230
48.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12227
94.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8218
64.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18817
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28289
36.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23717
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4180
154.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4889
180.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3674
135.6 IPS |
|
|
Text Classification (SP)
|
100% |
2613
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4590
6.13 KIPS |
|
|
Text Classification (Q)
|
93% |
4538
6.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3421
58.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5904
102.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5848
101.1 IPS |
