iPhone 16 Pro Max
Geekbench AI Score
4710
Single Precision Score
33304
Half Precision Score
46407
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Hgors |
| Upload Date | May 02 2025 12:59 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2071
385.1 IPS |
|
|
Image Classification (HP)
|
100% |
15179
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
20686
3.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1998
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18338
297.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24126
391.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9508
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
153793
179.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
292819
343.2 IPS |
|
|
Object Detection (SP)
|
100% |
2385
189.2 IPS |
|
|
Object Detection (HP)
|
100% |
16242
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22527
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3962
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
41189
489.4 IPS |
|
|
Face Detection (Q)
|
100% |
58107
690.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8368
64.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95723
737.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
159790
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
21110
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
245643
315.8 IPS |
|
|
Style Transfer (Q)
|
96% |
301857
389.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5678
209.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51441
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85945
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3372
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4720
6.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5091
6.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4274
73.6 IPS |
|
|
Machine Translation (HP)
|
100% |
10269
176.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11477
198.3 IPS |
