iPhone 16 Pro Max
Geekbench AI Score
4612
Single Precision Score
33010
Half Precision Score
46045
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 30 2025 04:06 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2050
381.2 IPS |
|
|
Image Classification (HP)
|
100% |
15355
2.86 KIPS |
|
|
Image Classification (Q)
|
97% |
21907
4.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1931
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18293
296.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24079
390.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9276
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
153417
179.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
292064
342.3 IPS |
|
|
Object Detection (SP)
|
100% |
2334
185.1 IPS |
|
|
Object Detection (HP)
|
100% |
16285
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22741
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3894
46.3 IPS |
|
|
Face Detection (HP)
|
100% |
41156
489.0 IPS |
|
|
Face Detection (Q)
|
100% |
58440
694.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8240
63.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95030
732.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
159549
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
20604
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
246314
316.6 IPS |
|
|
Style Transfer (Q)
|
96% |
302984
391.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5489
202.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50152
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85589
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3380
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4402
5.88 KIPS |
|
|
Text Classification (Q)
|
93% |
4439
5.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
4144
71.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10296
177.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11392
196.9 IPS |
