iPhone 16 Pro Max
Geekbench AI Score
4557
Single Precision Score
33531
Half Precision Score
46437
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 16 2025 02:18 AM |
| Views | 2 |
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% |
2075
385.8 IPS |
|
|
Image Classification (HP)
|
100% |
15251
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20775
3.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1971
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18317
296.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24029
389.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9177
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
152925
178.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
292464
342.8 IPS |
|
|
Object Detection (SP)
|
100% |
2345
186.0 IPS |
|
|
Object Detection (HP)
|
100% |
16622
1.32 KIPS |
|
|
Object Detection (Q)
|
91% |
23159
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
3697
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
41047
487.7 IPS |
|
|
Face Detection (Q)
|
100% |
60558
719.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7988
61.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
97023
747.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
165106
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
19165
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
247583
318.3 IPS |
|
|
Style Transfer (Q)
|
96% |
309479
399.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5426
200.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52239
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84092
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3385
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4908
6.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4768
6.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4229
72.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10009
172.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11117
192.1 IPS |
