iPhone 14 Pro Max
Geekbench AI Score
3896
Single Precision Score
4123
Half Precision Score
3683
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 27 2024 09:26 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% |
1674
311.4 IPS |
|
|
Image Classification (HP)
|
100% |
1121
208.5 IPS |
|
|
Image Classification (Q)
|
97% |
1395
260.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2237
36.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2508
40.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2427
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11696
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12314
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11437
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1924
152.6 IPS |
|
|
Object Detection (HP)
|
100% |
1870
148.3 IPS |
|
|
Object Detection (Q)
|
91% |
1559
124.6 IPS |
|
|
Face Detection (SP)
|
100% |
5265
62.6 IPS |
|
|
Face Detection (HP)
|
100% |
6116
72.7 IPS |
|
|
Face Detection (Q)
|
100% |
4088
48.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8493
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8718
67.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7072
55.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21116
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23613
30.4 IPS |
|
|
Style Transfer (Q)
|
96% |
21825
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4796
177.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4758
175.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3761
138.9 IPS |
|
|
Text Classification (SP)
|
100% |
2612
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4458
5.95 KIPS |
|
|
Text Classification (Q)
|
93% |
4409
5.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
810
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
823
14.2 IPS |
|
|
Machine Translation (Q)
|
98% |
729
12.6 IPS |
