iPhone 16 Pro Max
Geekbench AI Score
4544
Single Precision Score
33434
Half Precision Score
46219
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Jam_Ara_Papug |
| Upload Date | July 01 2025 02:53 PM |
| Views | 11 |
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% |
2018
375.2 IPS |
|
|
Image Classification (HP)
|
100% |
15914
2.96 KIPS |
|
|
Image Classification (Q)
|
97% |
22181
4.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1906
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18163
294.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23782
385.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8727
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
151176
176.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
291619
341.8 IPS |
|
|
Object Detection (SP)
|
100% |
2316
183.7 IPS |
|
|
Object Detection (HP)
|
100% |
16419
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22903
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
3850
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
41163
489.1 IPS |
|
|
Face Detection (Q)
|
100% |
58371
693.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8178
63.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
95509
735.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
160372
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
19700
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
246264
316.6 IPS |
|
|
Style Transfer (Q)
|
96% |
301440
389.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5401
199.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50258
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86437
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3405
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4856
6.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4484
6.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
4241
73.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10296
177.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11545
199.5 IPS |
