iPhone 14 Pro Max
Geekbench AI Score
3519
Single Precision Score
6066
Half Precision Score
4928
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ghamdi6532255 |
| Upload Date | April 11 2025 04:41 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1420
264.0 IPS |
|
|
Image Classification (HP)
|
100% |
2532
470.9 IPS |
|
|
Image Classification (Q)
|
96% |
1747
326.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1473
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2202
35.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2681
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7029
8.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
15185
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12950
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1575
124.9 IPS |
|
|
Object Detection (HP)
|
97% |
2880
229.3 IPS |
|
|
Object Detection (Q)
|
94% |
2047
163.1 IPS |
|
|
Face Detection (SP)
|
100% |
2869
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
5934
70.5 IPS |
|
|
Face Detection (Q)
|
100% |
3449
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6111
47.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12285
95.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8225
64.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18847
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28221
36.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23763
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4198
155.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4864
179.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3718
137.3 IPS |
|
|
Text Classification (SP)
|
100% |
2629
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4722
6.30 KIPS |
|
|
Text Classification (Q)
|
93% |
4608
6.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3454
59.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5858
101.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5892
101.8 IPS |
