iPhone 16 Pro Max
Geekbench AI Score
4508
Single Precision Score
33365
Half Precision Score
46386
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 01 2025 03:20 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2046
380.4 IPS |
|
|
Image Classification (HP)
|
100% |
15711
2.92 KIPS |
|
|
Image Classification (Q)
|
97% |
20988
3.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1919
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18190
294.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24084
390.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8670
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
150191
175.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
290608
340.6 IPS |
|
|
Object Detection (SP)
|
100% |
2308
183.1 IPS |
|
|
Object Detection (HP)
|
100% |
16299
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22796
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3731
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
40787
484.6 IPS |
|
|
Face Detection (Q)
|
100% |
57274
680.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8055
62.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95568
736.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
160228
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
19606
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
245493
315.6 IPS |
|
|
Style Transfer (Q)
|
96% |
305772
394.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5274
194.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50398
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85543
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3398
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4940
6.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5081
6.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4181
72.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10258
176.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11293
195.2 IPS |
