iPhone 14 Pro Max
Geekbench AI Score
3524
Single Precision Score
19615
Half Precision Score
21885
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 16 2024 10:35 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1424
264.8 IPS |
|
|
Image Classification (HP)
|
100% |
10082
1.87 KIPS |
|
|
Image Classification (Q)
|
97% |
11815
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1431
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
11564
187.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
12864
208.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6938
8.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
95051
110.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
101403
118.8 IPS |
|
|
Object Detection (SP)
|
100% |
1578
125.2 IPS |
|
|
Object Detection (HP)
|
100% |
12705
1.01 KIPS |
|
|
Object Detection (Q)
|
91% |
14332
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3018
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
30324
360.3 IPS |
|
|
Face Detection (Q)
|
100% |
37781
448.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6186
47.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
75015
577.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
95057
743.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18763
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
165177
212.3 IPS |
|
|
Style Transfer (Q)
|
96% |
165632
213.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4212
155.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33100
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36849
1.36 KIPS |
|
|
Text Classification (SP)
|
100% |
2613
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
2042
2.73 KIPS |
|
|
Text Classification (Q)
|
93% |
2149
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3439
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2359
40.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2423
41.9 IPS |
