iPhone 16 Pro Max
Geekbench AI Score
5723
Single Precision Score
6647
Half Precision Score
6017
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 12:14 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2983
554.8 IPS |
|
|
Image Classification (HP)
|
100% |
2358
438.5 IPS |
|
|
Image Classification (Q)
|
97% |
2807
523.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3284
53.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4420
71.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4397
71.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15771
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16556
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15589
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3191
253.1 IPS |
|
|
Object Detection (HP)
|
100% |
3519
279.1 IPS |
|
|
Object Detection (Q)
|
91% |
2852
227.9 IPS |
|
|
Face Detection (SP)
|
100% |
7569
89.9 IPS |
|
|
Face Detection (HP)
|
100% |
10667
126.8 IPS |
|
|
Face Detection (Q)
|
100% |
7100
84.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13435
103.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
14476
111.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
12242
95.7 IPS |
|
|
Style Transfer (SP)
|
100% |
33251
42.7 IPS |
|
|
Style Transfer (HP)
|
100% |
39506
50.8 IPS |
|
|
Style Transfer (Q)
|
96% |
35478
45.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7988
294.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8448
312.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6811
251.5 IPS |
|
|
Text Classification (SP)
|
100% |
3420
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5954
7.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5850
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
828
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
904
15.6 IPS |
|
|
Machine Translation (Q)
|
98% |
923
15.9 IPS |
