iPhone 16 Pro Max
Geekbench AI Score
4672
Single Precision Score
33528
Half Precision Score
46018
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | uch |
| Upload Date | October 09 2025 01:24 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.7.1 |
| 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% |
2035
378.5 IPS |
|
|
Image Classification (HP)
|
100% |
15312
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
20480
3.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1994
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18323
297.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24157
391.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9446
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
153528
179.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
291684
341.9 IPS |
|
|
Object Detection (SP)
|
100% |
2351
186.5 IPS |
|
|
Object Detection (HP)
|
100% |
16405
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22543
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3941
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
40811
484.9 IPS |
|
|
Face Detection (Q)
|
100% |
56954
676.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8351
64.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
95560
736.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
160258
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
20867
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
246910
317.4 IPS |
|
|
Style Transfer (Q)
|
96% |
303348
391.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5555
205.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50286
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84880
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3393
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
5086
6.79 KIPS |
|
|
Text Classification (Q)
|
93% |
4922
6.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
4251
73.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10315
177.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11319
195.6 IPS |
