iPhone 14 Pro Max
Geekbench AI Score
3522
Single Precision Score
6163
Half Precision Score
5007
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 10 2025 02:13 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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 | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1413
262.8 IPS |
|
|
Image Classification (HP)
|
100% |
2578
479.3 IPS |
|
|
Image Classification (Q)
|
96% |
1744
325.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1440
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2105
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2623
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6999
8.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
15467
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13219
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1564
124.0 IPS |
|
|
Object Detection (HP)
|
97% |
2881
229.4 IPS |
|
|
Object Detection (Q)
|
94% |
2044
162.9 IPS |
|
|
Face Detection (SP)
|
100% |
2980
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
5948
70.7 IPS |
|
|
Face Detection (Q)
|
100% |
3432
40.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6031
46.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11482
88.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7926
62.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18902
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
29637
38.1 IPS |
|
|
Style Transfer (Q)
|
96% |
24376
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4096
151.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5108
188.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3861
142.6 IPS |
|
|
Text Classification (SP)
|
100% |
2679
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4807
6.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4759
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3545
61.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6579
113.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6582
113.7 IPS |
