iPhone 16 Pro Max
Geekbench AI Score
5847
Single Precision Score
6964
Half Precision Score
6622
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | bulmasen |
| Upload Date | October 06 2025 08:43 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2857
531.3 IPS |
|
|
Image Classification (HP)
|
100% |
2585
480.7 IPS |
|
|
Image Classification (Q)
|
96% |
3171
592.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4241
68.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4905
79.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4722
76.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14796
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17964
21.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
17214
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
3012
238.9 IPS |
|
|
Object Detection (HP)
|
100% |
3389
268.8 IPS |
|
|
Object Detection (Q)
|
92% |
3166
252.7 IPS |
|
|
Face Detection (SP)
|
100% |
6904
82.0 IPS |
|
|
Face Detection (HP)
|
100% |
10256
121.9 IPS |
|
|
Face Detection (Q)
|
100% |
8003
95.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12452
95.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
15367
118.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
13835
108.1 IPS |
|
|
Style Transfer (SP)
|
100% |
31047
39.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38925
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
38150
49.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7217
266.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8068
297.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6886
254.3 IPS |
|
|
Text Classification (SP)
|
100% |
3702
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6104
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6059
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1213
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1152
19.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1128
19.5 IPS |
