iPhone 16 Pro Max
Geekbench AI Score
4647
Single Precision Score
33463
Half Precision Score
46606
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Oosty |
| Upload Date | September 11 2025 10:17 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
2067
384.4 IPS |
|
|
Image Classification (HP)
|
100% |
15602
2.90 KIPS |
|
|
Image Classification (Q)
|
97% |
20998
3.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1953
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18294
296.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24253
393.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9175
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
153686
179.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
292536
342.9 IPS |
|
|
Object Detection (SP)
|
100% |
2349
186.3 IPS |
|
|
Object Detection (HP)
|
100% |
16394
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
23005
1.84 KIPS |
|
|
Face Detection (SP)
|
100% |
3918
46.5 IPS |
|
|
Face Detection (HP)
|
100% |
41217
489.7 IPS |
|
|
Face Detection (Q)
|
100% |
57611
684.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8326
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95511
735.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
163542
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
20386
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
245853
316.0 IPS |
|
|
Style Transfer (Q)
|
96% |
302620
390.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5527
204.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50853
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86087
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3449
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4822
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4964
6.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4258
73.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10318
177.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11580
200.1 IPS |
