iPhone 14 Pro Max
Geekbench AI Score
3529
Single Precision Score
23458
Half Precision Score
27349
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | austinh |
| Upload Date | July 28 2025 09:45 PM |
| Views | 8 |
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% |
1409
262.0 IPS |
|
|
Image Classification (HP)
|
100% |
10316
1.92 KIPS |
|
|
Image Classification (Q)
|
97% |
12104
2.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1379
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
13784
223.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
19140
310.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7008
8.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
103172
120.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
104847
122.9 IPS |
|
|
Object Detection (SP)
|
100% |
1575
124.9 IPS |
|
|
Object Detection (HP)
|
100% |
13295
1.05 KIPS |
|
|
Object Detection (Q)
|
91% |
15070
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
3051
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
31806
377.9 IPS |
|
|
Face Detection (Q)
|
100% |
39464
468.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6019
46.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
75488
581.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
97053
758.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19094
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
174266
224.0 IPS |
|
|
Style Transfer (Q)
|
96% |
181259
233.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4105
151.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32706
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41273
1.52 KIPS |
|
|
Text Classification (SP)
|
100% |
2730
3.64 KIPS |
|
|
Text Classification (HP)
|
100% |
2513
3.35 KIPS |
|
|
Text Classification (Q)
|
93% |
2693
3.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3561
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7523
129.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8290
143.3 IPS |
