iPhone 16 Pro Max
Geekbench AI Score
4676
Single Precision Score
33157
Half Precision Score
46335
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ShungSoh |
| Upload Date | June 01 2025 06:39 PM |
| Views | 6 |
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% |
2083
387.4 IPS |
|
|
Image Classification (HP)
|
100% |
15550
2.89 KIPS |
|
|
Image Classification (Q)
|
97% |
21731
4.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1999
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18303
296.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24166
391.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9267
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
154182
179.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
292672
343.0 IPS |
|
|
Object Detection (SP)
|
100% |
2352
186.5 IPS |
|
|
Object Detection (HP)
|
100% |
16193
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22804
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3937
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
41204
489.6 IPS |
|
|
Face Detection (Q)
|
100% |
56895
676.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8333
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
95146
733.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
160062
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
20756
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
245967
316.2 IPS |
|
|
Style Transfer (Q)
|
96% |
301994
389.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5669
209.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50707
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84433
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3369
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4489
5.99 KIPS |
|
|
Text Classification (Q)
|
93% |
4840
6.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4239
73.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10300
177.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11580
200.1 IPS |
