iPhone 16 Pro Max
Geekbench AI Score
4599
Single Precision Score
33199
Half Precision Score
45054
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 26 2025 04:55 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
2013
374.3 IPS |
|
|
Image Classification (HP)
|
100% |
13526
2.52 KIPS |
|
|
Image Classification (Q)
|
97% |
18000
3.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1800
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18068
292.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23515
381.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9412
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
152109
177.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
289814
339.7 IPS |
|
|
Object Detection (SP)
|
100% |
2360
187.2 IPS |
|
|
Object Detection (HP)
|
100% |
15534
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21153
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
3585
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
39571
470.2 IPS |
|
|
Face Detection (Q)
|
100% |
53199
632.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8178
63.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
93920
723.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
153884
1.20 KIPS |
|
|
Style Transfer (SP)
|
100% |
22464
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
243933
313.6 IPS |
|
|
Style Transfer (Q)
|
96% |
293535
378.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5596
206.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50722
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77667
2.87 KIPS |
|
|
Text Classification (SP)
|
100% |
3529
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
5662
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5793
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
4047
69.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10819
186.4 IPS |
|
|
Machine Translation (Q)
|
98% |
12286
212.3 IPS |
