iPhone 14 Pro Max
Geekbench AI Score
3230
Single Precision Score
6122
Half Precision Score
4926
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 12:31 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1318
245.0 IPS |
|
|
Image Classification (HP)
|
100% |
2637
490.4 IPS |
|
|
Image Classification (Q)
|
96% |
1819
339.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1352
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2137
34.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2613
42.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5936
6.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
14612
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12289
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1342
106.5 IPS |
|
|
Object Detection (HP)
|
97% |
2873
228.7 IPS |
|
|
Object Detection (Q)
|
94% |
2060
164.2 IPS |
|
|
Face Detection (SP)
|
100% |
2759
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
5576
66.3 IPS |
|
|
Face Detection (Q)
|
100% |
2872
34.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5443
41.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11573
89.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7920
61.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16492
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28036
36.0 IPS |
|
|
Style Transfer (Q)
|
96% |
23265
30.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3775
139.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5394
199.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3940
145.5 IPS |
|
|
Text Classification (SP)
|
100% |
2818
3.76 KIPS |
|
|
Text Classification (HP)
|
99% |
4974
6.64 KIPS |
|
|
Text Classification (Q)
|
93% |
4938
6.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3306
56.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6447
111.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6801
117.5 IPS |
