iPhone 16 Pro Max
Geekbench AI Score
4646
Single Precision Score
33268
Half Precision Score
46000
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 10 2025 06:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| 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% |
2071
385.1 IPS |
|
|
Image Classification (HP)
|
100% |
15498
2.88 KIPS |
|
|
Image Classification (Q)
|
97% |
20666
3.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1964
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18313
296.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24157
391.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9271
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
151671
177.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
292023
342.3 IPS |
|
|
Object Detection (SP)
|
100% |
2363
187.4 IPS |
|
|
Object Detection (HP)
|
100% |
16500
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
23052
1.84 KIPS |
|
|
Face Detection (SP)
|
100% |
3921
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
41211
489.7 IPS |
|
|
Face Detection (Q)
|
100% |
58201
691.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8379
64.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
96799
745.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
160112
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
20181
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
245627
315.8 IPS |
|
|
Style Transfer (Q)
|
96% |
301080
388.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5579
206.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51343
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84567
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3399
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4485
5.99 KIPS |
|
|
Text Classification (Q)
|
93% |
4537
6.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
4185
72.1 IPS |
|
|
Machine Translation (HP)
|
100% |
10365
178.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11728
202.7 IPS |
