iPhone 16 Pro Max
Geekbench AI Score
4647
Single Precision Score
33092
Half Precision Score
44753
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | fridriksa |
| Upload Date | February 03 2026 09:22 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
1985
369.1 IPS |
|
|
Image Classification (HP)
|
100% |
13754
2.56 KIPS |
|
|
Image Classification (Q)
|
97% |
18056
3.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1826
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18130
293.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23676
383.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9444
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
151738
177.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
291868
342.1 IPS |
|
|
Object Detection (SP)
|
100% |
2343
185.9 IPS |
|
|
Object Detection (HP)
|
100% |
15573
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21272
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3636
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
40138
476.9 IPS |
|
|
Face Detection (Q)
|
100% |
53301
633.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8273
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
94136
725.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
151853
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
22945
29.5 IPS |
|
|
Style Transfer (HP)
|
100% |
244546
314.4 IPS |
|
|
Style Transfer (Q)
|
96% |
294918
380.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5534
204.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51544
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80015
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
3746
5.00 KIPS |
|
|
Text Classification (HP)
|
99% |
6132
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
6211
8.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
4100
70.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9152
157.6 IPS |
|
|
Machine Translation (Q)
|
98% |
10237
176.9 IPS |
