iPhone 16 Pro Max
Geekbench AI Score
4729
Single Precision Score
32658
Half Precision Score
42194
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 23 2025 08:40 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
2067
384.3 IPS |
|
|
Image Classification (HP)
|
100% |
14220
2.64 KIPS |
|
|
Image Classification (Q)
|
97% |
19435
3.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2015
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18245
295.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24048
389.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9734
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
153677
179.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
291917
342.1 IPS |
|
|
Object Detection (SP)
|
100% |
2379
188.7 IPS |
|
|
Object Detection (HP)
|
100% |
16122
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22104
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
3936
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
41111
488.5 IPS |
|
|
Face Detection (Q)
|
100% |
57649
685.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8356
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
95822
738.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
158067
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
21410
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
245594
315.7 IPS |
|
|
Style Transfer (Q)
|
96% |
301007
388.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5829
215.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52637
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84183
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3394
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4290
5.73 KIPS |
|
|
Text Classification (Q)
|
93% |
2401
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
4171
71.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9830
169.3 IPS |
|
|
Machine Translation (Q)
|
98% |
10700
184.9 IPS |
