iPhone 14 Pro Max
Geekbench AI Score
3365
Single Precision Score
22775
Half Precision Score
26234
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 10:24 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1342
249.6 IPS |
|
|
Image Classification (HP)
|
100% |
9633
1.79 KIPS |
|
|
Image Classification (Q)
|
97% |
12068
2.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1364
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
14397
233.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
18880
306.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6081
7.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
94870
110.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
100739
118.1 IPS |
|
|
Object Detection (SP)
|
100% |
1460
115.8 IPS |
|
|
Object Detection (HP)
|
100% |
12413
984.6 IPS |
|
|
Object Detection (Q)
|
91% |
13648
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
3056
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
30999
368.3 IPS |
|
|
Face Detection (Q)
|
100% |
39474
469.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5895
45.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
71853
553.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
92365
722.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17732
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
168156
216.2 IPS |
|
|
Style Transfer (Q)
|
96% |
171460
221.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3813
140.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31938
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35217
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
2803
3.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2634
3.52 KIPS |
|
|
Text Classification (Q)
|
93% |
2704
3.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3361
57.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7298
125.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8282
143.1 IPS |
