iPhone 16 Pro Max
Geekbench AI Score
4327
Single Precision Score
32698
Half Precision Score
44903
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | oiskin |
| Upload Date | October 09 2025 01:30 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2004
372.7 IPS |
|
|
Image Classification (HP)
|
100% |
14464
2.69 KIPS |
|
|
Image Classification (Q)
|
97% |
19758
3.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1757
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18116
293.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23681
383.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8144
9.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
137939
161.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
266327
312.2 IPS |
|
|
Object Detection (SP)
|
100% |
2192
173.9 IPS |
|
|
Object Detection (HP)
|
100% |
15717
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
21682
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
3321
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
39535
469.8 IPS |
|
|
Face Detection (Q)
|
100% |
52959
629.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7692
59.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
93370
719.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
150320
1.18 KIPS |
|
|
Style Transfer (SP)
|
100% |
20195
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
244436
314.2 IPS |
|
|
Style Transfer (Q)
|
96% |
294805
380.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4705
173.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47214
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81255
3.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3726
4.97 KIPS |
|
|
Text Classification (HP)
|
99% |
6290
8.40 KIPS |
|
|
Text Classification (Q)
|
93% |
6191
8.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4050
69.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9179
158.1 IPS |
|
|
Machine Translation (Q)
|
98% |
10448
180.6 IPS |
