iPhone 14 Pro Max
Geekbench AI Score
3455
Single Precision Score
6123
Half Precision Score
4962
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 12 2025 11:12 PM |
| 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% |
1379
256.5 IPS |
|
|
Image Classification (HP)
|
100% |
2548
473.8 IPS |
|
|
Image Classification (Q)
|
96% |
1743
325.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1426
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2165
35.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2614
42.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6550
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
14726
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12811
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1530
121.4 IPS |
|
|
Object Detection (HP)
|
97% |
2853
227.2 IPS |
|
|
Object Detection (Q)
|
94% |
2034
162.2 IPS |
|
|
Face Detection (SP)
|
100% |
2915
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
5755
68.4 IPS |
|
|
Face Detection (Q)
|
100% |
3388
40.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5991
46.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11386
88.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7968
62.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18238
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29250
37.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22750
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4103
151.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5280
195.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3896
143.9 IPS |
|
|
Text Classification (SP)
|
100% |
2710
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4895
6.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4896
6.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3474
59.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6462
111.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6507
112.5 IPS |
