iPhone 16 Pro Max
Geekbench AI Score
4524
Single Precision Score
32727
Half Precision Score
45696
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | krdrever |
| Upload Date | February 02 2025 10:52 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
2007
373.3 IPS |
|
|
Image Classification (HP)
|
100% |
15340
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
20086
3.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1947
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18156
294.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24114
390.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8796
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
153670
179.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
293147
343.6 IPS |
|
|
Object Detection (SP)
|
100% |
2178
172.8 IPS |
|
|
Object Detection (HP)
|
100% |
16115
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22254
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3578
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
41225
489.8 IPS |
|
|
Face Detection (Q)
|
100% |
59069
701.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7808
60.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
95127
732.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
162259
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
23794
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
245550
315.7 IPS |
|
|
Style Transfer (Q)
|
96% |
301017
388.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5575
205.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50115
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84267
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3438
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4523
6.04 KIPS |
|
|
Text Classification (Q)
|
93% |
4595
6.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3770
64.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9364
161.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11247
194.4 IPS |
