iPhone 16 Pro Max
Geekbench AI Score
4553
Single Precision Score
33191
Half Precision Score
44923
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | RobertRgs |
| Upload Date | March 08 2026 05:51 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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% |
2012
374.1 IPS |
|
|
Image Classification (HP)
|
100% |
14765
2.75 KIPS |
|
|
Image Classification (Q)
|
97% |
18315
3.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1752
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18069
292.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23496
380.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8867
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
151376
176.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
288413
338.0 IPS |
|
|
Object Detection (SP)
|
100% |
2324
184.4 IPS |
|
|
Object Detection (HP)
|
100% |
15446
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21166
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
3592
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
39911
474.2 IPS |
|
|
Face Detection (Q)
|
100% |
53194
632.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8206
63.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
94014
724.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
157786
1.23 KIPS |
|
|
Style Transfer (SP)
|
100% |
21840
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
244577
314.4 IPS |
|
|
Style Transfer (Q)
|
96% |
294665
380.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5471
202.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50993
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81424
3.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3688
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6136
8.19 KIPS |
|
|
Text Classification (Q)
|
93% |
6161
8.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
4058
69.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9061
156.1 IPS |
|
|
Machine Translation (Q)
|
98% |
10272
177.5 IPS |
