iPhone 14 Pro Max
Geekbench AI Score
3851
Single Precision Score
4257
Half Precision Score
3177
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | jimscard |
| Upload Date | August 29 2024 05:57 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1607
298.9 IPS |
|
|
Image Classification (HP)
|
100% |
1498
278.5 IPS |
|
|
Image Classification (Q)
|
99% |
1618
301.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2268
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2529
41.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
2524
40.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11770
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12372
14.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
11083
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1904
151.0 IPS |
|
|
Object Detection (HP)
|
100% |
1923
152.5 IPS |
|
|
Object Detection (Q)
|
91% |
1527
122.0 IPS |
|
|
Face Detection (SP)
|
100% |
5081
60.4 IPS |
|
|
Face Detection (HP)
|
100% |
5792
68.8 IPS |
|
|
Face Detection (Q)
|
100% |
4078
48.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8344
64.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8786
67.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
1231
9.52 IPS |
|
|
Style Transfer (SP)
|
100% |
21110
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23707
30.5 IPS |
|
|
Style Transfer (Q)
|
100% |
23653
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4713
174.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4814
177.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3581
132.7 IPS |
|
|
Text Classification (SP)
|
100% |
2624
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4710
6.29 KIPS |
|
|
Text Classification (Q)
|
93% |
4572
6.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
795
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
794
13.7 IPS |
|
|
Machine Translation (Q)
|
98% |
780
13.5 IPS |
