iPhone 16 Pro Max
Geekbench AI Score
4653
Single Precision Score
7845
Half Precision Score
6253
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 03 2025 07:14 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2085
387.7 IPS |
|
|
Image Classification (HP)
|
100% |
3418
635.7 IPS |
|
|
Image Classification (Q)
|
96% |
2288
427.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1998
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2890
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3350
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9376
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18616
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15388
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2335
185.2 IPS |
|
|
Object Detection (HP)
|
97% |
3788
301.6 IPS |
|
|
Object Detection (Q)
|
94% |
2663
212.2 IPS |
|
|
Face Detection (SP)
|
100% |
3942
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
7487
89.0 IPS |
|
|
Face Detection (Q)
|
100% |
4215
50.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8229
63.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14409
111.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10005
78.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20544
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37588
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30883
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5439
200.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7275
268.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5199
192.0 IPS |
|
|
Text Classification (SP)
|
100% |
3378
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5878
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5844
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4261
73.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7319
126.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7359
127.2 IPS |
