iPhone 16 Pro Max
Geekbench AI Score
4494
Single Precision Score
33192
Half Precision Score
44753
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | nov23 |
| Upload Date | November 09 2025 06:13 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1993
370.7 IPS |
|
|
Image Classification (HP)
|
100% |
14346
2.67 KIPS |
|
|
Image Classification (Q)
|
97% |
18292
3.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1758
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18129
293.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23589
382.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8770
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
151381
176.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
288640
338.3 IPS |
|
|
Object Detection (SP)
|
100% |
2271
180.1 IPS |
|
|
Object Detection (HP)
|
100% |
15567
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21151
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
3546
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
40264
478.4 IPS |
|
|
Face Detection (Q)
|
100% |
55089
654.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7960
61.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
94365
727.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
150046
1.17 KIPS |
|
|
Style Transfer (SP)
|
100% |
21100
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
244645
314.5 IPS |
|
|
Style Transfer (Q)
|
96% |
296864
383.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5343
197.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50966
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79384
2.93 KIPS |
|
|
Text Classification (SP)
|
100% |
3703
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6116
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6062
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
4087
70.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9142
157.5 IPS |
|
|
Machine Translation (Q)
|
98% |
10361
179.0 IPS |
