iPhone 14 Pro Max
Geekbench AI Score
3858
Single Precision Score
4186
Half Precision Score
3729
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 30 2024 11:14 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1499
278.7 IPS |
|
|
Image Classification (HP)
|
100% |
1113
206.9 IPS |
|
|
Image Classification (Q)
|
97% |
1459
272.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2290
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2556
41.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2487
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11614
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12331
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11507
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1962
155.6 IPS |
|
|
Object Detection (HP)
|
100% |
1977
156.8 IPS |
|
|
Object Detection (Q)
|
91% |
1537
122.8 IPS |
|
|
Face Detection (SP)
|
100% |
5366
63.8 IPS |
|
|
Face Detection (HP)
|
100% |
6483
77.0 IPS |
|
|
Face Detection (Q)
|
100% |
4209
50.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8625
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9325
71.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7336
57.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21005
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23424
30.1 IPS |
|
|
Style Transfer (Q)
|
96% |
21923
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4536
167.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4439
163.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3485
128.7 IPS |
|
|
Text Classification (SP)
|
100% |
2665
3.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4712
6.29 KIPS |
|
|
Text Classification (Q)
|
93% |
4653
6.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
796
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
805
13.9 IPS |
|
|
Machine Translation (Q)
|
98% |
739
12.8 IPS |
