iPhone 16 Pro Max
Geekbench AI Score
6137
Single Precision Score
7033
Half Precision Score
6750
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 17 2025 03:08 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2839
527.9 IPS |
|
|
Image Classification (HP)
|
100% |
2643
491.5 IPS |
|
|
Image Classification (Q)
|
96% |
3092
577.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4524
73.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5026
81.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4867
78.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15839
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16387
19.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
15992
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
3285
260.6 IPS |
|
|
Object Detection (HP)
|
100% |
3563
282.6 IPS |
|
|
Object Detection (Q)
|
92% |
3255
259.8 IPS |
|
|
Face Detection (SP)
|
100% |
7751
92.1 IPS |
|
|
Face Detection (HP)
|
100% |
10940
130.0 IPS |
|
|
Face Detection (Q)
|
100% |
8600
102.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13509
104.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14734
113.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
13737
107.4 IPS |
|
|
Style Transfer (SP)
|
100% |
33468
43.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37687
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
37169
48.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8128
300.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8520
314.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7685
283.8 IPS |
|
|
Text Classification (SP)
|
100% |
3369
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5878
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5869
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1183
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1255
21.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1267
21.9 IPS |
