iPhone 16 Pro Max
Geekbench AI Score
4405
Single Precision Score
33187
Half Precision Score
46429
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | rydawg |
| Upload Date | June 11 2025 01:30 AM |
| Views | 8 |
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% |
2059
383.0 IPS |
|
|
Image Classification (HP)
|
100% |
15242
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20264
3.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1924
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18307
296.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23785
385.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8241
9.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
138563
161.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
289297
339.1 IPS |
|
|
Object Detection (SP)
|
100% |
2196
174.2 IPS |
|
|
Object Detection (HP)
|
100% |
16807
1.33 KIPS |
|
|
Object Detection (Q)
|
91% |
23364
1.87 KIPS |
|
|
Face Detection (SP)
|
100% |
3604
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
41127
488.7 IPS |
|
|
Face Detection (Q)
|
100% |
57812
686.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7714
59.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
94704
729.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
162276
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
18919
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
245091
315.1 IPS |
|
|
Style Transfer (Q)
|
96% |
303883
392.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5182
191.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49941
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84869
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3420
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5241
7.00 KIPS |
|
|
Text Classification (Q)
|
93% |
5218
7.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
4118
70.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9983
172.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11318
195.6 IPS |
