iPhone 14 Pro Max
Geekbench AI Score
3483
Single Precision Score
17663
Half Precision Score
19672
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 22 2024 12:20 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1437
267.2 IPS |
|
|
Image Classification (HP)
|
100% |
9966
1.85 KIPS |
|
|
Image Classification (Q)
|
99% |
11713
2.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1451
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9983
161.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
10131
164.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6543
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
89185
104.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
98765
115.8 IPS |
|
|
Object Detection (SP)
|
100% |
1549
122.9 IPS |
|
|
Object Detection (HP)
|
100% |
12146
963.4 IPS |
|
|
Object Detection (Q)
|
91% |
14213
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
2940
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
18794
223.3 IPS |
|
|
Face Detection (Q)
|
100% |
30912
367.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6162
47.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
59252
456.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
67182
519.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18550
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
130099
167.2 IPS |
|
|
Style Transfer (Q)
|
100% |
129396
166.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4140
152.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30795
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
36641
1.36 KIPS |
|
|
Text Classification (SP)
|
100% |
2627
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
2617
3.49 KIPS |
|
|
Text Classification (Q)
|
93% |
2240
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3410
58.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2350
40.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2363
40.8 IPS |
