iPhone 16 Pro Max
Geekbench AI Score
4297
Single Precision Score
7516
Half Precision Score
5944
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 03 2025 06:27 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone 16 Pro Max |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1986
369.3 IPS |
|
|
Image Classification (HP)
|
100% |
3377
628.0 IPS |
|
|
Image Classification (Q)
|
96% |
2256
421.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1887
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2890
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3286
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7897
9.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
16402
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14280
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
1992
158.0 IPS |
|
|
Object Detection (HP)
|
97% |
3742
297.9 IPS |
|
|
Object Detection (Q)
|
94% |
2570
204.8 IPS |
|
|
Face Detection (SP)
|
100% |
3390
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
7151
85.0 IPS |
|
|
Face Detection (Q)
|
100% |
3899
46.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7254
55.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13585
105.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9156
71.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22689
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
35831
46.1 IPS |
|
|
Style Transfer (Q)
|
96% |
29284
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5093
188.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6863
253.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4856
179.3 IPS |
|
|
Text Classification (SP)
|
100% |
3423
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5869
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5852
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3751
64.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6850
118.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6823
117.9 IPS |
