iPhone 14 Pro Max
Geekbench AI Score
3552
Single Precision Score
23375
Half Precision Score
26327
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | RDNewman |
| Upload Date | June 05 2025 02:06 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1394
259.3 IPS |
|
|
Image Classification (HP)
|
100% |
10282
1.91 KIPS |
|
|
Image Classification (Q)
|
97% |
11884
2.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1464
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15704
254.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
19007
308.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7047
8.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
104421
121.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
103739
121.6 IPS |
|
|
Object Detection (SP)
|
100% |
1569
124.5 IPS |
|
|
Object Detection (HP)
|
100% |
13320
1.06 KIPS |
|
|
Object Detection (Q)
|
91% |
15215
1.22 KIPS |
|
|
Face Detection (SP)
|
100% |
2977
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
31241
371.2 IPS |
|
|
Face Detection (Q)
|
100% |
40740
484.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6167
47.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
74988
577.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
93471
730.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19089
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
179449
230.7 IPS |
|
|
Style Transfer (Q)
|
96% |
179213
231.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4249
156.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33317
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37621
1.39 KIPS |
|
|
Text Classification (SP)
|
100% |
2709
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
1975
2.64 KIPS |
|
|
Text Classification (Q)
|
93% |
2000
2.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3516
60.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7840
135.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8740
151.0 IPS |
