iPhone 16 Pro Max
Geekbench AI Score
6116
Single Precision Score
6967
Half Precision Score
6805
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | 19jet54 |
| Upload Date | July 22 2025 01:40 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
2956
549.8 IPS |
|
|
Image Classification (HP)
|
100% |
2444
454.4 IPS |
|
|
Image Classification (Q)
|
96% |
3103
579.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4482
72.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4929
79.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4750
77.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15671
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17111
20.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
16895
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
3201
253.9 IPS |
|
|
Object Detection (HP)
|
100% |
3445
273.3 IPS |
|
|
Object Detection (Q)
|
92% |
3329
265.7 IPS |
|
|
Face Detection (SP)
|
100% |
7751
92.1 IPS |
|
|
Face Detection (HP)
|
100% |
10754
127.8 IPS |
|
|
Face Detection (Q)
|
100% |
8509
101.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13610
104.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
14964
115.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
14028
109.6 IPS |
|
|
Style Transfer (SP)
|
100% |
33075
42.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38656
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
38818
50.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8037
296.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8242
304.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7574
279.7 IPS |
|
|
Text Classification (SP)
|
100% |
3382
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5876
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5835
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1162
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1260
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1256
21.7 IPS |
