iPhone 16 Pro Max
Geekbench AI Score
4623
Single Precision Score
7845
Half Precision Score
6253
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 17 2025 03:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2073
385.5 IPS |
|
|
Image Classification (HP)
|
100% |
3403
632.8 IPS |
|
|
Image Classification (Q)
|
96% |
2278
425.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1980
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2856
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3345
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9423
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18539
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15624
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2338
185.4 IPS |
|
|
Object Detection (HP)
|
97% |
3829
304.8 IPS |
|
|
Object Detection (Q)
|
94% |
2644
210.8 IPS |
|
|
Face Detection (SP)
|
100% |
3871
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
7541
89.6 IPS |
|
|
Face Detection (Q)
|
100% |
4204
50.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8238
63.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14450
111.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9966
77.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20209
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37778
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31107
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5414
199.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7268
268.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5198
192.0 IPS |
|
|
Text Classification (SP)
|
100% |
3370
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5872
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5841
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4194
72.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7289
125.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7339
126.8 IPS |
