iPhone 14 Pro Max
Geekbench AI Score
3513
Single Precision Score
17349
Half Precision Score
19167
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 25 2024 11:43 AM |
| 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% |
1432
266.2 IPS |
|
|
Image Classification (HP)
|
100% |
9767
1.82 KIPS |
|
|
Image Classification (Q)
|
99% |
10931
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1430
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9777
158.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
10046
162.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6796
7.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
89302
104.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
96824
113.6 IPS |
|
|
Object Detection (SP)
|
100% |
1570
124.5 IPS |
|
|
Object Detection (HP)
|
100% |
12179
966.0 IPS |
|
|
Object Detection (Q)
|
91% |
14562
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3023
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
18213
216.4 IPS |
|
|
Face Detection (Q)
|
100% |
30795
365.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6164
47.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
60910
469.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
66158
511.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18684
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
129629
166.6 IPS |
|
|
Style Transfer (Q)
|
100% |
129026
165.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4158
153.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33079
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
36253
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
2625
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
2094
2.79 KIPS |
|
|
Text Classification (Q)
|
93% |
1908
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3456
59.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2388
41.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2378
41.1 IPS |
