iPhone 14 Pro Max
Geekbench AI Score
3510
Single Precision Score
23156
Half Precision Score
26752
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | bobo6866 |
| Upload Date | May 31 2025 09:01 PM |
| 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% |
1394
259.3 IPS |
|
|
Image Classification (HP)
|
100% |
10164
1.89 KIPS |
|
|
Image Classification (Q)
|
97% |
12323
2.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1401
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16315
264.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
19076
309.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7020
8.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
98273
114.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
103913
121.8 IPS |
|
|
Object Detection (SP)
|
100% |
1555
123.4 IPS |
|
|
Object Detection (HP)
|
100% |
12852
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
15154
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
2975
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
29523
350.8 IPS |
|
|
Face Detection (Q)
|
100% |
39674
471.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6118
47.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
74554
574.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
97340
761.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18925
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
165315
212.5 IPS |
|
|
Style Transfer (Q)
|
96% |
182839
235.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4172
154.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33373
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37257
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
2663
3.55 KIPS |
|
|
Text Classification (HP)
|
100% |
2289
3.05 KIPS |
|
|
Text Classification (Q)
|
93% |
2294
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3480
59.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7615
131.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8405
145.2 IPS |
