iPhone 14 Pro Max
Geekbench AI Score
3516
Single Precision Score
23383
Half Precision Score
26670
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | jamesmagenst |
| Upload Date | July 13 2025 05:37 PM |
| Views | 10 |
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% |
1371
254.9 IPS |
|
|
Image Classification (HP)
|
100% |
10175
1.89 KIPS |
|
|
Image Classification (Q)
|
97% |
12897
2.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1409
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14168
229.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
19032
308.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6946
8.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
98412
114.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
105017
123.1 IPS |
|
|
Object Detection (SP)
|
100% |
1570
124.5 IPS |
|
|
Object Detection (HP)
|
100% |
12975
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
14791
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
3039
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
31037
368.8 IPS |
|
|
Face Detection (Q)
|
100% |
39515
469.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6073
46.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
75310
580.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
95488
746.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18910
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
178998
230.1 IPS |
|
|
Style Transfer (Q)
|
96% |
180288
232.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4112
151.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32064
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36871
1.36 KIPS |
|
|
Text Classification (SP)
|
100% |
2708
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
2612
3.49 KIPS |
|
|
Text Classification (Q)
|
93% |
2274
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3536
60.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7576
130.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8375
144.7 IPS |
