iPhone 16 Pro Max
Geekbench AI Score
5712
Single Precision Score
6662
Half Precision Score
5977
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | January 31 2025 12:53 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2727
507.2 IPS |
|
|
Image Classification (HP)
|
100% |
2612
485.7 IPS |
|
|
Image Classification (Q)
|
97% |
2657
495.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3302
53.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4452
72.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4412
71.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15788
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16306
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15574
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3181
252.3 IPS |
|
|
Object Detection (HP)
|
100% |
3715
294.7 IPS |
|
|
Object Detection (Q)
|
91% |
2889
230.8 IPS |
|
|
Face Detection (SP)
|
100% |
8202
97.5 IPS |
|
|
Face Detection (HP)
|
100% |
10781
128.1 IPS |
|
|
Face Detection (Q)
|
100% |
7213
85.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13507
104.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14966
115.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
12743
99.6 IPS |
|
|
Style Transfer (SP)
|
100% |
33419
43.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39546
50.8 IPS |
|
|
Style Transfer (Q)
|
96% |
37255
48.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7993
295.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8104
299.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6781
250.4 IPS |
|
|
Text Classification (SP)
|
100% |
3374
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5669
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5617
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
820
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
834
14.4 IPS |
|
|
Machine Translation (Q)
|
98% |
846
14.6 IPS |
