iPhone 14 Pro Max
Geekbench AI Score
3536
Single Precision Score
6088
Half Precision Score
4926
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 12:28 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1438
267.5 IPS |
|
|
Image Classification (HP)
|
100% |
2540
472.4 IPS |
|
|
Image Classification (Q)
|
96% |
1736
324.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1428
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2248
36.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2683
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7028
8.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
15131
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13051
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1569
124.5 IPS |
|
|
Object Detection (HP)
|
97% |
2908
231.5 IPS |
|
|
Object Detection (Q)
|
94% |
2052
163.5 IPS |
|
|
Face Detection (SP)
|
100% |
3038
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
6007
71.4 IPS |
|
|
Face Detection (Q)
|
100% |
3479
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6255
48.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12237
94.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8280
64.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18883
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28590
36.8 IPS |
|
|
Style Transfer (Q)
|
96% |
23754
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4203
155.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4947
182.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3748
138.4 IPS |
|
|
Text Classification (SP)
|
100% |
2607
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4564
6.09 KIPS |
|
|
Text Classification (Q)
|
93% |
4531
6.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3439
59.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5871
101.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5810
100.4 IPS |
