iPhone 16 Pro Max
Geekbench AI Score
4626
Single Precision Score
33186
Half Precision Score
44608
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | matta |
| Upload Date | November 25 2025 08:23 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1966
365.6 IPS |
|
|
Image Classification (HP)
|
100% |
13961
2.60 KIPS |
|
|
Image Classification (Q)
|
97% |
17006
3.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1724
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
17999
291.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23532
381.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9423
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
152490
177.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
291079
341.2 IPS |
|
|
Object Detection (SP)
|
100% |
2345
186.0 IPS |
|
|
Object Detection (HP)
|
100% |
15683
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
22001
1.76 KIPS |
|
|
Face Detection (SP)
|
100% |
3625
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
39734
472.1 IPS |
|
|
Face Detection (Q)
|
100% |
53206
632.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8330
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
94365
727.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
154012
1.20 KIPS |
|
|
Style Transfer (SP)
|
100% |
22943
29.5 IPS |
|
|
Style Transfer (HP)
|
100% |
244860
314.8 IPS |
|
|
Style Transfer (Q)
|
96% |
293763
379.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5646
208.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51523
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78579
2.90 KIPS |
|
|
Text Classification (SP)
|
100% |
3731
4.98 KIPS |
|
|
Text Classification (HP)
|
99% |
6279
8.38 KIPS |
|
|
Text Classification (Q)
|
93% |
6296
8.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
4115
70.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9078
156.4 IPS |
|
|
Machine Translation (Q)
|
98% |
10222
176.6 IPS |
