iPhone 16 Pro Max
Geekbench AI Score
4420
Single Precision Score
33454
Half Precision Score
45422
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 14 2025 08:30 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
2009
373.7 IPS |
|
|
Image Classification (HP)
|
100% |
14432
2.68 KIPS |
|
|
Image Classification (Q)
|
97% |
18830
3.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1798
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18073
293.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23422
379.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8678
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
147816
172.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
286377
335.7 IPS |
|
|
Object Detection (SP)
|
100% |
2280
180.9 IPS |
|
|
Object Detection (HP)
|
100% |
15535
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21126
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
3531
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
39499
469.3 IPS |
|
|
Face Detection (Q)
|
100% |
52837
627.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7858
60.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
94360
727.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
156559
1.22 KIPS |
|
|
Style Transfer (SP)
|
100% |
20525
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
244208
313.9 IPS |
|
|
Style Transfer (Q)
|
96% |
294845
380.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5158
190.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50182
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79854
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
3358
4.48 KIPS |
|
|
Text Classification (HP)
|
100% |
5877
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5748
7.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
4043
69.6 IPS |
|
|
Machine Translation (HP)
|
100% |
10921
188.1 IPS |
|
|
Machine Translation (Q)
|
98% |
12517
216.3 IPS |
