iPhone 14 Pro Max
Geekbench AI Score
3545
Single Precision Score
22187
Half Precision Score
25215
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ESPD |
| Upload Date | November 12 2024 05:38 AM |
| Views | 15 |
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% |
1399
260.2 IPS |
|
|
Image Classification (HP)
|
100% |
10195
1.90 KIPS |
|
|
Image Classification (Q)
|
97% |
12566
2.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1467
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14261
231.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
18119
293.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7053
8.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
97477
113.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
100879
118.2 IPS |
|
|
Object Detection (SP)
|
100% |
1592
126.3 IPS |
|
|
Object Detection (HP)
|
100% |
12981
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
14964
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
3017
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
29697
352.9 IPS |
|
|
Face Detection (Q)
|
100% |
39586
470.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6099
47.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
75369
580.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
95580
747.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18989
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
163188
209.8 IPS |
|
|
Style Transfer (Q)
|
96% |
166815
215.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4237
156.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31350
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36644
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
2635
3.52 KIPS |
|
|
Text Classification (HP)
|
100% |
1953
2.61 KIPS |
|
|
Text Classification (Q)
|
93% |
1704
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3494
60.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7028
121.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7671
132.6 IPS |
