iPhone 14 Pro Max
Geekbench AI Score
3547
Single Precision Score
20545
Half Precision Score
22961
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | bb_referee |
| Upload Date | September 27 2024 05:42 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1410
262.2 IPS |
|
|
Image Classification (HP)
|
100% |
10564
1.96 KIPS |
|
|
Image Classification (Q)
|
97% |
12537
2.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1437
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
14800
239.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
17847
289.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7146
8.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
95130
111.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
101751
119.3 IPS |
|
|
Object Detection (SP)
|
100% |
1576
125.0 IPS |
|
|
Object Detection (HP)
|
100% |
12885
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
14979
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
3096
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
30365
360.8 IPS |
|
|
Face Detection (Q)
|
100% |
38601
458.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6227
48.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
74743
575.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
95886
749.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18889
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
164483
211.4 IPS |
|
|
Style Transfer (Q)
|
96% |
167303
215.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4196
154.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31779
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39217
1.45 KIPS |
|
|
Text Classification (SP)
|
100% |
2625
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
2462
3.29 KIPS |
|
|
Text Classification (Q)
|
93% |
2056
2.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3451
59.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2394
41.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2393
41.3 IPS |
