iPhone 16 Pro Max
Geekbench AI Score
4564
Single Precision Score
33650
Half Precision Score
45853
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 05:57 AM |
| Views | 1 |
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% |
1933
359.6 IPS |
|
|
Image Classification (HP)
|
100% |
15907
2.96 KIPS |
|
|
Image Classification (Q)
|
97% |
20793
3.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1951
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18260
296.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24134
391.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8864
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
152215
177.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
292127
342.4 IPS |
|
|
Object Detection (SP)
|
100% |
2340
185.6 IPS |
|
|
Object Detection (HP)
|
100% |
16314
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22881
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
3893
46.3 IPS |
|
|
Face Detection (HP)
|
100% |
41177
489.3 IPS |
|
|
Face Detection (Q)
|
100% |
58397
693.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8186
63.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95160
733.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
159938
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
19992
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
245706
315.9 IPS |
|
|
Style Transfer (Q)
|
96% |
301152
388.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5506
203.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51295
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86140
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3366
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
5055
6.75 KIPS |
|
|
Text Classification (Q)
|
93% |
4489
6.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
4254
73.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10340
178.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11264
194.7 IPS |
