iPhone 16 Pro Max
Geekbench AI Score
4515
Single Precision Score
7713
Half Precision Score
6135
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 07:22 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.7.1 |
| 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% |
2065
384.1 IPS |
|
|
Image Classification (HP)
|
100% |
3413
634.7 IPS |
|
|
Image Classification (Q)
|
96% |
2267
423.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1945
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2861
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3299
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8681
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17038
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14911
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2292
181.8 IPS |
|
|
Object Detection (HP)
|
97% |
3752
298.7 IPS |
|
|
Object Detection (Q)
|
94% |
2615
208.4 IPS |
|
|
Face Detection (SP)
|
100% |
3761
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
7466
88.7 IPS |
|
|
Face Detection (Q)
|
100% |
4129
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8014
61.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14291
110.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9809
76.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19805
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36414
46.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30372
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5181
191.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7282
268.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5052
186.6 IPS |
|
|
Text Classification (SP)
|
100% |
3388
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5917
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5855
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4205
72.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7136
123.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7126
123.1 IPS |
