iPhone 14 Pro Max
Geekbench AI Score
3438
Single Precision Score
22282
Half Precision Score
25661
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 28 2025 10:18 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1349
251.0 IPS |
|
|
Image Classification (HP)
|
100% |
8952
1.66 KIPS |
|
|
Image Classification (Q)
|
97% |
11121
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1367
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16044
260.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
17089
277.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6633
7.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
97294
113.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
102669
120.3 IPS |
|
|
Object Detection (SP)
|
100% |
1470
116.6 IPS |
|
|
Object Detection (HP)
|
100% |
11810
936.8 IPS |
|
|
Object Detection (Q)
|
91% |
13716
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
3141
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
25185
299.3 IPS |
|
|
Face Detection (Q)
|
100% |
38870
461.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5981
46.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
73118
563.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
92271
721.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18752
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
169753
218.2 IPS |
|
|
Style Transfer (Q)
|
96% |
173177
223.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3897
143.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32063
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34727
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
2784
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
2520
3.36 KIPS |
|
|
Text Classification (Q)
|
93% |
2630
3.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3363
57.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7240
124.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8155
140.9 IPS |
