iPhone 16 Pro Max
Geekbench AI Score
6070
Single Precision Score
7014
Half Precision Score
6702
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 24 2025 11:46 AM |
| Views | 3 |
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% |
2741
509.8 IPS |
|
|
Image Classification (HP)
|
100% |
2576
479.1 IPS |
|
|
Image Classification (Q)
|
96% |
3056
570.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4408
71.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4914
79.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4732
76.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15424
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17308
20.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
16571
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
3145
249.5 IPS |
|
|
Object Detection (HP)
|
100% |
3358
266.4 IPS |
|
|
Object Detection (Q)
|
92% |
3026
241.6 IPS |
|
|
Face Detection (SP)
|
100% |
7609
90.4 IPS |
|
|
Face Detection (HP)
|
100% |
10572
125.6 IPS |
|
|
Face Detection (Q)
|
100% |
8420
100.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13467
103.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
15262
117.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
13852
108.2 IPS |
|
|
Style Transfer (SP)
|
100% |
32700
42.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38452
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
38465
49.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8044
297.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8267
305.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7589
280.2 IPS |
|
|
Text Classification (SP)
|
100% |
3400
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
6054
8.08 KIPS |
|
|
Text Classification (Q)
|
93% |
5902
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1265
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1262
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1255
21.7 IPS |
