iPhone 16 Pro Max
Geekbench AI Score
4547
Single Precision Score
33357
Half Precision Score
44958
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | simplemal |
| Upload Date | November 18 2025 08:14 AM |
| Views | 12 |
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% |
2038
379.1 IPS |
|
|
Image Classification (HP)
|
100% |
14674
2.73 KIPS |
|
|
Image Classification (Q)
|
97% |
18421
3.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1825
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18124
293.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23494
380.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8941
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
151303
176.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
287991
337.5 IPS |
|
|
Object Detection (SP)
|
100% |
2320
184.1 IPS |
|
|
Object Detection (HP)
|
100% |
15535
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21113
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
3591
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
40093
476.4 IPS |
|
|
Face Detection (Q)
|
100% |
53727
638.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8037
61.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
94171
725.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
152621
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
21798
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
245377
315.4 IPS |
|
|
Style Transfer (Q)
|
96% |
293861
379.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5288
195.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51791
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80724
2.98 KIPS |
|
|
Text Classification (SP)
|
100% |
3679
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6185
8.26 KIPS |
|
|
Text Classification (Q)
|
93% |
6339
8.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
4008
69.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9196
158.4 IPS |
|
|
Machine Translation (Q)
|
98% |
10399
179.7 IPS |
