iPhone 14 Pro Max
Geekbench AI Score
3393
Single Precision Score
22968
Half Precision Score
25583
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | maksimmik |
| Upload Date | October 20 2025 11:59 AM |
| Views | 6 |
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% |
1342
249.6 IPS |
|
|
Image Classification (HP)
|
100% |
9254
1.72 KIPS |
|
|
Image Classification (Q)
|
97% |
11630
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1354
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16077
260.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
16948
274.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6380
7.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
96864
113.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
100926
118.3 IPS |
|
|
Object Detection (SP)
|
100% |
1474
116.9 IPS |
|
|
Object Detection (HP)
|
100% |
12554
995.8 IPS |
|
|
Object Detection (Q)
|
91% |
14196
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
3120
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
29288
348.0 IPS |
|
|
Face Detection (Q)
|
100% |
39546
469.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5978
46.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
71827
553.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
80104
626.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16968
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
169477
217.9 IPS |
|
|
Style Transfer (Q)
|
96% |
169115
218.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3840
141.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32104
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36038
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
2797
3.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2724
3.64 KIPS |
|
|
Text Classification (Q)
|
93% |
2676
3.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3482
60.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7245
124.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8234
142.3 IPS |
