iPhone 14 Pro Max
Geekbench AI Score
3515
Single Precision Score
22241
Half Precision Score
25526
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Rohan_C |
| Upload Date | January 12 2025 05:04 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
1407
261.6 IPS |
|
|
Image Classification (HP)
|
100% |
9757
1.81 KIPS |
|
|
Image Classification (Q)
|
97% |
12888
2.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1465
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13536
219.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
18379
297.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6719
7.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
99414
116.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
101991
119.5 IPS |
|
|
Object Detection (SP)
|
100% |
1576
125.0 IPS |
|
|
Object Detection (HP)
|
100% |
12938
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
14775
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
3068
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
29606
351.8 IPS |
|
|
Face Detection (Q)
|
100% |
38352
455.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6107
47.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
75833
584.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
95442
746.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18805
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
163786
210.5 IPS |
|
|
Style Transfer (Q)
|
96% |
168730
217.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4176
154.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33015
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36632
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
2600
3.47 KIPS |
|
|
Text Classification (HP)
|
100% |
2022
2.70 KIPS |
|
|
Text Classification (Q)
|
93% |
1864
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3450
59.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7105
122.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7803
134.8 IPS |
