iPhone 14 Pro Max
Geekbench AI Score
3518
Single Precision Score
6047
Half Precision Score
4916
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 21 2024 12:39 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1434
266.7 IPS |
|
|
Image Classification (HP)
|
100% |
2548
473.9 IPS |
|
|
Image Classification (Q)
|
96% |
1737
324.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1423
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2156
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2683
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6949
8.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
15057
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12903
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1584
125.6 IPS |
|
|
Object Detection (HP)
|
97% |
2917
232.2 IPS |
|
|
Object Detection (Q)
|
94% |
2048
163.3 IPS |
|
|
Face Detection (SP)
|
100% |
3065
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
6050
71.9 IPS |
|
|
Face Detection (Q)
|
100% |
3493
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6227
48.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12129
93.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8202
64.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18691
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28290
36.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23627
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4212
155.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4830
178.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3651
134.8 IPS |
|
|
Text Classification (SP)
|
100% |
2616
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4643
6.20 KIPS |
|
|
Text Classification (Q)
|
93% |
4601
6.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3296
56.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5820
100.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5895
101.9 IPS |
