iPhone 14 Pro Max
Geekbench AI Score
3482
Single Precision Score
23095
Half Precision Score
26775
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | jonathanmiranda |
| Upload Date | April 09 2025 03:08 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1413
262.7 IPS |
|
|
Image Classification (HP)
|
100% |
10829
2.01 KIPS |
|
|
Image Classification (Q)
|
97% |
13028
2.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1405
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14134
229.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19069
309.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6555
7.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
98830
115.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
103208
121.0 IPS |
|
|
Object Detection (SP)
|
100% |
1569
124.5 IPS |
|
|
Object Detection (HP)
|
100% |
12729
1.01 KIPS |
|
|
Object Detection (Q)
|
91% |
14655
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
2991
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
31880
378.8 IPS |
|
|
Face Detection (Q)
|
100% |
40902
486.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6049
46.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
75544
582.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
94876
741.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18101
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
163415
210.1 IPS |
|
|
Style Transfer (Q)
|
96% |
182812
235.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4082
150.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31611
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37237
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
2694
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
2367
3.16 KIPS |
|
|
Text Classification (Q)
|
93% |
2276
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3570
61.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7615
131.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8382
144.8 IPS |
