iPhone 16 Pro Max
Geekbench AI Score
4368
Single Precision Score
33424
Half Precision Score
44966
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 22 2025 06:14 PM |
| Views | 1 |
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% |
2004
372.7 IPS |
|
|
Image Classification (HP)
|
100% |
14508
2.70 KIPS |
|
|
Image Classification (Q)
|
97% |
18416
3.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1774
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18029
292.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23648
383.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8456
9.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
143396
167.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
285767
334.9 IPS |
|
|
Object Detection (SP)
|
100% |
2293
181.9 IPS |
|
|
Object Detection (HP)
|
100% |
15441
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
20968
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
3478
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
39514
469.5 IPS |
|
|
Face Detection (Q)
|
100% |
52500
623.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7652
59.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
93783
722.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
149466
1.17 KIPS |
|
|
Style Transfer (SP)
|
100% |
20248
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
243882
313.5 IPS |
|
|
Style Transfer (Q)
|
96% |
298285
384.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5201
192.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50946
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76589
2.83 KIPS |
|
|
Text Classification (SP)
|
100% |
3359
4.48 KIPS |
|
|
Text Classification (HP)
|
100% |
5970
7.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5765
7.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3900
67.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10933
188.3 IPS |
|
|
Machine Translation (Q)
|
98% |
12531
216.6 IPS |
