iPhone 14 Pro Max
Geekbench AI Score
3485
Single Precision Score
22330
Half Precision Score
25867
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 11 2024 11:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1411
262.4 IPS |
|
|
Image Classification (HP)
|
100% |
10358
1.93 KIPS |
|
|
Image Classification (Q)
|
97% |
12644
2.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1421
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14545
235.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
18137
294.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6577
7.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
96586
112.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
100758
118.1 IPS |
|
|
Object Detection (SP)
|
100% |
1566
124.2 IPS |
|
|
Object Detection (HP)
|
100% |
12770
1.01 KIPS |
|
|
Object Detection (Q)
|
91% |
14843
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
3045
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
30286
359.9 IPS |
|
|
Face Detection (Q)
|
100% |
39145
465.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6000
46.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
75114
578.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
95806
749.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18460
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
164251
211.1 IPS |
|
|
Style Transfer (Q)
|
96% |
169706
219.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4205
155.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30728
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37217
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
2626
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
2044
2.73 KIPS |
|
|
Text Classification (Q)
|
93% |
2155
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3444
59.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7069
121.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7662
132.4 IPS |
