iPhone 14 Pro Max
Geekbench AI Score
3513
Single Precision Score
22440
Half Precision Score
25408
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 29 2024 12:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1421
264.2 IPS |
|
|
Image Classification (HP)
|
100% |
10160
1.89 KIPS |
|
|
Image Classification (Q)
|
97% |
11823
2.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1421
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13499
218.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
18229
295.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6734
7.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
95191
111.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
101052
118.4 IPS |
|
|
Object Detection (SP)
|
100% |
1574
124.9 IPS |
|
|
Object Detection (HP)
|
100% |
12843
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
14869
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
3086
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
30344
360.6 IPS |
|
|
Face Detection (Q)
|
100% |
39698
471.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6204
47.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
75005
577.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
94865
741.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18666
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
164185
211.1 IPS |
|
|
Style Transfer (Q)
|
96% |
168213
217.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4155
153.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33137
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36548
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
2612
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
2095
2.80 KIPS |
|
|
Text Classification (Q)
|
93% |
1826
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3453
59.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7445
128.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8193
141.6 IPS |
