iPhone 14 Pro Max
Geekbench AI Score
3843
Single Precision Score
4141
Half Precision Score
3097
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 03 2024 11:30 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1519
282.5 IPS |
|
|
Image Classification (HP)
|
100% |
1250
232.5 IPS |
|
|
Image Classification (Q)
|
99% |
1609
300.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2284
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2536
41.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
2511
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11705
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12337
14.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
11006
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1907
151.3 IPS |
|
|
Object Detection (HP)
|
100% |
1830
145.2 IPS |
|
|
Object Detection (Q)
|
91% |
1448
115.7 IPS |
|
|
Face Detection (SP)
|
100% |
5364
63.7 IPS |
|
|
Face Detection (HP)
|
100% |
6146
73.0 IPS |
|
|
Face Detection (Q)
|
100% |
4076
48.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8487
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8745
67.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
1054
8.15 IPS |
|
|
Style Transfer (SP)
|
100% |
20886
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
23348
30.0 IPS |
|
|
Style Transfer (Q)
|
100% |
23515
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4560
168.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4379
161.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3509
130.0 IPS |
|
|
Text Classification (SP)
|
100% |
2624
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4704
6.28 KIPS |
|
|
Text Classification (Q)
|
93% |
4599
6.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
799
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
802
13.8 IPS |
|
|
Machine Translation (Q)
|
98% |
775
13.4 IPS |
