iPhone 14 Pro Max
Geekbench AI Score
3526
Single Precision Score
19620
Half Precision Score
21884
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 18 2024 11:09 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1435
266.9 IPS |
|
|
Image Classification (HP)
|
100% |
10175
1.89 KIPS |
|
|
Image Classification (Q)
|
97% |
12308
2.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1435
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
11315
183.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
13245
214.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6709
7.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
96372
112.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
101392
118.8 IPS |
|
|
Object Detection (SP)
|
100% |
1570
124.5 IPS |
|
|
Object Detection (HP)
|
100% |
12696
1.01 KIPS |
|
|
Object Detection (Q)
|
91% |
14882
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
3145
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
29802
354.1 IPS |
|
|
Face Detection (Q)
|
100% |
37224
442.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6192
47.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
75731
583.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
96920
757.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18674
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
164952
212.0 IPS |
|
|
Style Transfer (Q)
|
96% |
168312
217.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4171
154.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31777
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37317
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
2607
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
2153
2.87 KIPS |
|
|
Text Classification (Q)
|
93% |
1900
2.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3470
59.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2357
40.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2379
41.1 IPS |
