iPhone 14 Pro Max
Geekbench AI Score
3487
Single Precision Score
6166
Half Precision Score
5007
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 02 2025 11:15 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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
262.1 IPS |
|
|
Image Classification (HP)
|
100% |
2573
478.4 IPS |
|
|
Image Classification (Q)
|
96% |
1769
330.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1422
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2146
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2601
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6496
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
15082
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12784
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1548
122.8 IPS |
|
|
Object Detection (HP)
|
97% |
2901
230.9 IPS |
|
|
Object Detection (Q)
|
94% |
2062
164.4 IPS |
|
|
Face Detection (SP)
|
100% |
3079
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
5938
70.6 IPS |
|
|
Face Detection (Q)
|
100% |
3425
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5956
45.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11585
89.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7970
62.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18381
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
29387
37.8 IPS |
|
|
Style Transfer (Q)
|
96% |
24533
31.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4032
148.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5120
189.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3837
141.7 IPS |
|
|
Text Classification (SP)
|
100% |
2713
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4848
6.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4853
6.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3581
61.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6560
113.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6548
113.1 IPS |
