iPhone 14 Pro Max
Geekbench AI Score
3540
Single Precision Score
17653
Half Precision Score
19682
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 29 2024 11:45 AM |
| Views | 8 |
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% |
1435
266.9 IPS |
|
|
Image Classification (HP)
|
100% |
10353
1.93 KIPS |
|
|
Image Classification (Q)
|
99% |
11689
2.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1439
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
10340
167.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
9846
159.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6784
7.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
90719
105.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
98409
115.4 IPS |
|
|
Object Detection (SP)
|
100% |
1588
125.9 IPS |
|
|
Object Detection (HP)
|
100% |
12130
962.1 IPS |
|
|
Object Detection (Q)
|
91% |
14560
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3081
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
18380
218.4 IPS |
|
|
Face Detection (Q)
|
100% |
30829
366.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6314
48.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
59400
457.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
66123
511.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18727
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
130652
168.0 IPS |
|
|
Style Transfer (Q)
|
100% |
128177
164.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4208
155.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31217
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
36604
1.36 KIPS |
|
|
Text Classification (SP)
|
100% |
2612
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
2343
3.13 KIPS |
|
|
Text Classification (Q)
|
93% |
2293
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3470
59.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2392
41.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2413
41.7 IPS |
