iPhone 14 Pro Max
Geekbench AI Score
3800
Single Precision Score
4185
Half Precision Score
3701
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 20 2024 12:18 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1481
275.4 IPS |
|
|
Image Classification (HP)
|
100% |
1418
263.6 IPS |
|
|
Image Classification (Q)
|
97% |
1393
259.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2261
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2538
41.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2488
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11619
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12313
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11265
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1896
150.4 IPS |
|
|
Object Detection (HP)
|
100% |
1810
143.6 IPS |
|
|
Object Detection (Q)
|
91% |
1480
118.3 IPS |
|
|
Face Detection (SP)
|
100% |
5388
64.0 IPS |
|
|
Face Detection (HP)
|
100% |
6215
73.8 IPS |
|
|
Face Detection (Q)
|
100% |
4109
48.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8278
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8715
67.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7195
56.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20820
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
23146
29.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21734
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4421
163.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4563
168.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3616
133.5 IPS |
|
|
Text Classification (SP)
|
100% |
2559
3.42 KIPS |
|
|
Text Classification (HP)
|
100% |
4438
5.92 KIPS |
|
|
Text Classification (Q)
|
93% |
4435
5.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
812
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
810
13.9 IPS |
|
|
Machine Translation (Q)
|
98% |
810
14.0 IPS |
