iPhone 16 Pro Max
Geekbench AI Score
4404
Single Precision Score
33160
Half Precision Score
45798
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | anbG34 |
| Upload Date | May 19 2025 11:29 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% |
1833
340.8 IPS |
|
|
Image Classification (HP)
|
100% |
15304
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
20697
3.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1924
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18184
294.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24037
389.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8493
9.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
147777
172.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
289308
339.1 IPS |
|
|
Object Detection (SP)
|
100% |
2265
179.7 IPS |
|
|
Object Detection (HP)
|
100% |
16692
1.32 KIPS |
|
|
Object Detection (Q)
|
91% |
22728
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3798
45.1 IPS |
|
|
Face Detection (HP)
|
100% |
41230
489.9 IPS |
|
|
Face Detection (Q)
|
100% |
56848
675.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7945
61.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
94620
729.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
158362
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
19103
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
246218
316.5 IPS |
|
|
Style Transfer (Q)
|
96% |
308047
397.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4974
183.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51033
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84325
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3376
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4808
6.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4727
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
4184
72.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9937
171.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11228
194.0 IPS |
