iPhone 16 Pro Max
Geekbench AI Score
6164
Single Precision Score
7112
Half Precision Score
6832
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Oosty |
| Upload Date | September 11 2025 10:15 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
2964
551.2 IPS |
|
|
Image Classification (HP)
|
100% |
2736
508.8 IPS |
|
|
Image Classification (Q)
|
96% |
3118
582.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4514
73.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4985
80.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4809
78.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15783
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17281
20.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
17189
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
3256
258.2 IPS |
|
|
Object Detection (HP)
|
100% |
3434
272.4 IPS |
|
|
Object Detection (Q)
|
92% |
3091
246.7 IPS |
|
|
Face Detection (SP)
|
100% |
7780
92.4 IPS |
|
|
Face Detection (HP)
|
100% |
10994
130.6 IPS |
|
|
Face Detection (Q)
|
100% |
8655
102.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13535
104.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
15240
117.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
14187
110.8 IPS |
|
|
Style Transfer (SP)
|
100% |
33286
42.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38853
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
39282
50.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7957
293.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8319
307.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7655
282.7 IPS |
|
|
Text Classification (SP)
|
100% |
3445
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
6103
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6072
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1199
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1238
21.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1242
21.5 IPS |
