iPhone 14 Pro Max
Geekbench AI Score
3501
Single Precision Score
22389
Half Precision Score
24473
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 23 2024 01:23 PM |
| Views | 9 |
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 | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1395
259.5 IPS |
|
|
Image Classification (HP)
|
100% |
9759
1.81 KIPS |
|
|
Image Classification (Q)
|
97% |
11793
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1426
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
14428
233.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
18007
291.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6749
7.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
96541
112.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
101147
118.6 IPS |
|
|
Object Detection (SP)
|
100% |
1574
124.9 IPS |
|
|
Object Detection (HP)
|
100% |
12823
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
14514
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3025
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
29622
352.0 IPS |
|
|
Face Detection (Q)
|
100% |
39522
469.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6119
47.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
74035
570.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
95592
747.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18964
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
171768
220.8 IPS |
|
|
Style Transfer (Q)
|
96% |
163660
211.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4179
154.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33016
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36088
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
2621
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
2038
2.72 KIPS |
|
|
Text Classification (Q)
|
93% |
1433
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3408
58.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7165
123.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7734
133.7 IPS |
