iPhone 14 Pro Max
Geekbench AI Score
3520
Single Precision Score
22163
Half Precision Score
25544
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Psycleracer |
| Upload Date | November 09 2024 08:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1422
264.5 IPS |
|
|
Image Classification (HP)
|
100% |
10448
1.94 KIPS |
|
|
Image Classification (Q)
|
97% |
12803
2.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1428
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
13673
221.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
17875
289.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7000
8.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
96551
112.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
101156
118.6 IPS |
|
|
Object Detection (SP)
|
100% |
1573
124.8 IPS |
|
|
Object Detection (HP)
|
100% |
12781
1.01 KIPS |
|
|
Object Detection (Q)
|
91% |
14930
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
3012
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
29032
345.0 IPS |
|
|
Face Detection (Q)
|
100% |
38809
461.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6103
47.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
76392
588.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
95651
747.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18908
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
167898
215.8 IPS |
|
|
Style Transfer (Q)
|
96% |
168194
217.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4221
155.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31952
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37850
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
2613
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
1930
2.58 KIPS |
|
|
Text Classification (Q)
|
93% |
1861
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3412
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7064
121.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7784
134.5 IPS |
