iPhone 16 Pro Max
Geekbench AI Score
6127
Single Precision Score
6886
Half Precision Score
6796
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 12 2025 03:01 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3011
560.0 IPS |
|
|
Image Classification (HP)
|
100% |
2026
376.8 IPS |
|
|
Image Classification (Q)
|
96% |
3084
575.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4388
71.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4896
79.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4744
76.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15588
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17212
20.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
17193
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
3150
249.8 IPS |
|
|
Object Detection (HP)
|
100% |
3403
270.0 IPS |
|
|
Object Detection (Q)
|
92% |
3134
250.2 IPS |
|
|
Face Detection (SP)
|
100% |
7804
92.7 IPS |
|
|
Face Detection (HP)
|
100% |
11028
131.0 IPS |
|
|
Face Detection (Q)
|
100% |
8752
104.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13940
107.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15575
120.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
13895
108.5 IPS |
|
|
Style Transfer (SP)
|
100% |
32093
41.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39249
50.5 IPS |
|
|
Style Transfer (Q)
|
96% |
39632
51.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7973
294.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8173
301.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7541
278.5 IPS |
|
|
Text Classification (SP)
|
100% |
3385
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5972
7.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5876
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1221
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1255
21.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1250
21.6 IPS |
