iPhone 16 Pro Max
Geekbench AI Score
4565
Single Precision Score
33619
Half Precision Score
44964
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 12 2025 12:10 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2025
376.6 IPS |
|
|
Image Classification (HP)
|
100% |
14407
2.68 KIPS |
|
|
Image Classification (Q)
|
97% |
18110
3.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1828
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18144
294.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23537
381.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9073
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
150898
176.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
288262
337.9 IPS |
|
|
Object Detection (SP)
|
100% |
2307
183.0 IPS |
|
|
Object Detection (HP)
|
100% |
15302
1.21 KIPS |
|
|
Object Detection (Q)
|
91% |
20852
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
3587
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
39434
468.6 IPS |
|
|
Face Detection (Q)
|
100% |
52827
627.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8050
62.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
94980
731.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
153019
1.20 KIPS |
|
|
Style Transfer (SP)
|
100% |
22335
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
244267
314.0 IPS |
|
|
Style Transfer (Q)
|
96% |
293709
379.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5473
202.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51356
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76575
2.83 KIPS |
|
|
Text Classification (SP)
|
100% |
3593
4.80 KIPS |
|
|
Text Classification (HP)
|
99% |
5989
7.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5801
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
4001
68.9 IPS |
|
|
Machine Translation (HP)
|
100% |
10860
187.1 IPS |
|
|
Machine Translation (Q)
|
98% |
12502
216.0 IPS |
