iPhone 14 Pro Max
Geekbench AI Score
3504
Single Precision Score
23035
Half Precision Score
26909
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 19 2025 12:27 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1409
262.0 IPS |
|
|
Image Classification (HP)
|
100% |
9873
1.84 KIPS |
|
|
Image Classification (Q)
|
97% |
12569
2.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1401
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14939
242.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
19122
310.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6920
8.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
102765
119.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
103973
121.9 IPS |
|
|
Object Detection (SP)
|
100% |
1569
124.4 IPS |
|
|
Object Detection (HP)
|
100% |
13047
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
14938
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
2927
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
31304
372.0 IPS |
|
|
Face Detection (Q)
|
100% |
39338
467.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6074
46.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
76044
585.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
96205
752.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18995
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
174817
224.7 IPS |
|
|
Style Transfer (Q)
|
96% |
180038
232.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4129
152.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34653
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41549
1.53 KIPS |
|
|
Text Classification (SP)
|
100% |
2681
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
1965
2.62 KIPS |
|
|
Text Classification (Q)
|
93% |
2242
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3484
60.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7506
129.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8402
145.2 IPS |
