iPhone 14 Pro Max
Geekbench AI Score
3175
Single Precision Score
4884
Half Precision Score
4044
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | SpeedsterCamaro |
| Upload Date | August 30 2024 03:10 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1458
271.2 IPS |
|
|
Image Classification (HP)
|
100% |
1875
348.6 IPS |
|
|
Image Classification (Q)
|
99% |
1894
353.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1244
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1214
19.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
1217
19.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6109
7.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
14268
16.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
12142
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1521
120.6 IPS |
|
|
Object Detection (HP)
|
97% |
2260
179.9 IPS |
|
|
Object Detection (Q)
|
94% |
1733
138.1 IPS |
|
|
Face Detection (SP)
|
100% |
2738
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
4476
53.2 IPS |
|
|
Face Detection (Q)
|
100% |
2866
34.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5404
41.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8547
66.0 IPS |
|
|
Depth Estimation (Q)
|
96% |
4396
34.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17220
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26714
34.3 IPS |
|
|
Style Transfer (Q)
|
100% |
26736
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3643
134.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5180
191.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3705
137.3 IPS |
|
|
Text Classification (SP)
|
100% |
2581
3.44 KIPS |
|
|
Text Classification (HP)
|
100% |
4390
5.86 KIPS |
|
|
Text Classification (Q)
|
93% |
4370
5.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
2580
44.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4531
78.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4433
76.6 IPS |
