iPhone 14 Pro Max
Geekbench AI Score
3479
Single Precision Score
6160
Half Precision Score
5028
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 26 2025 08:45 AM |
| Views | 2 |
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% |
1404
261.2 IPS |
|
|
Image Classification (HP)
|
100% |
2550
474.1 IPS |
|
|
Image Classification (Q)
|
96% |
1744
325.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1409
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2105
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2631
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6764
7.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
15215
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13011
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1569
124.5 IPS |
|
|
Object Detection (HP)
|
97% |
2911
231.7 IPS |
|
|
Object Detection (Q)
|
94% |
2073
165.2 IPS |
|
|
Face Detection (SP)
|
100% |
3010
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
5880
69.9 IPS |
|
|
Face Detection (Q)
|
100% |
3434
40.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6030
46.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11577
89.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8008
62.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18331
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
29365
37.7 IPS |
|
|
Style Transfer (Q)
|
96% |
24218
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3986
147.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5221
192.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3848
142.1 IPS |
|
|
Text Classification (SP)
|
100% |
2725
3.64 KIPS |
|
|
Text Classification (HP)
|
100% |
4892
6.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4853
6.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3427
59.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6482
112.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6710
116.0 IPS |
