iPhone 14 Pro Max
Geekbench AI Score
3517
Single Precision Score
22191
Half Precision Score
25116
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 09 2024 08:38 PM |
| Views | 2 |
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% |
1423
264.6 IPS |
|
|
Image Classification (HP)
|
100% |
10440
1.94 KIPS |
|
|
Image Classification (Q)
|
97% |
12576
2.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1436
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
13445
218.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
18446
299.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6719
7.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
96362
112.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
102736
120.4 IPS |
|
|
Object Detection (SP)
|
100% |
1571
124.6 IPS |
|
|
Object Detection (HP)
|
100% |
12707
1.01 KIPS |
|
|
Object Detection (Q)
|
91% |
14682
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3133
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
30864
366.7 IPS |
|
|
Face Detection (Q)
|
100% |
40282
478.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6155
47.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
75759
583.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
97239
760.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18556
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
161359
207.4 IPS |
|
|
Style Transfer (Q)
|
96% |
166361
214.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4159
153.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31359
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36956
1.36 KIPS |
|
|
Text Classification (SP)
|
100% |
2621
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
2517
3.36 KIPS |
|
|
Text Classification (Q)
|
93% |
1980
2.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3451
59.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5659
97.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5989
103.5 IPS |
