iPhone 16 Pro Max
Geekbench AI Score
4606
Single Precision Score
7810
Half Precision Score
6205
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Hgors |
| Upload Date | April 05 2025 02:56 AM |
| Views | 8 |
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% |
2078
386.4 IPS |
|
|
Image Classification (HP)
|
100% |
3387
629.9 IPS |
|
|
Image Classification (Q)
|
96% |
2273
424.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1992
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2859
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3351
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9195
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18063
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15207
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2319
183.9 IPS |
|
|
Object Detection (HP)
|
97% |
3818
304.0 IPS |
|
|
Object Detection (Q)
|
94% |
2655
211.6 IPS |
|
|
Face Detection (SP)
|
100% |
3876
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
7442
88.4 IPS |
|
|
Face Detection (Q)
|
100% |
4134
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8150
62.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14290
110.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9872
77.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20019
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37640
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30084
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5378
198.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7284
269.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5130
189.4 IPS |
|
|
Text Classification (SP)
|
100% |
3378
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5905
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5866
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
4243
73.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7347
127.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7449
128.7 IPS |
