iPhone 16 Pro Max
Geekbench AI Score
4346
Single Precision Score
32970
Half Precision Score
46806
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 07:55 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1984
369.1 IPS |
|
|
Image Classification (HP)
|
100% |
15715
2.92 KIPS |
|
|
Image Classification (Q)
|
97% |
20764
3.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1924
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18119
293.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24069
390.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8096
9.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
148145
172.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
293354
343.8 IPS |
|
|
Object Detection (SP)
|
100% |
2074
164.5 IPS |
|
|
Object Detection (HP)
|
100% |
16336
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
23024
1.84 KIPS |
|
|
Face Detection (SP)
|
100% |
3365
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
41118
488.6 IPS |
|
|
Face Detection (Q)
|
100% |
59504
707.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7276
56.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
94988
731.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
161328
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
22325
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
244645
314.5 IPS |
|
|
Style Transfer (Q)
|
96% |
300688
388.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5369
198.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50177
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84089
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3412
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4632
6.18 KIPS |
|
|
Text Classification (Q)
|
93% |
5174
6.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3747
64.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9920
170.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11907
205.8 IPS |
