iPhone 16 Pro Max
Geekbench AI Score
4449
Single Precision Score
31766
Half Precision Score
44357
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | JC_Coronel |
| Upload Date | March 06 2025 10:17 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1979
368.1 IPS |
|
|
Image Classification (HP)
|
100% |
15186
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
19958
3.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1909
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18256
295.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24051
389.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8604
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
150380
175.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
292648
343.0 IPS |
|
|
Object Detection (SP)
|
100% |
2142
169.9 IPS |
|
|
Object Detection (HP)
|
100% |
16076
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22293
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3492
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
41153
489.0 IPS |
|
|
Face Detection (Q)
|
100% |
58218
691.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7633
58.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
94801
730.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
160444
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
23226
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
244745
314.6 IPS |
|
|
Style Transfer (Q)
|
96% |
305827
394.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5508
203.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49720
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83541
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3426
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
3563
4.76 KIPS |
|
|
Text Classification (Q)
|
93% |
3511
4.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3743
64.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9230
159.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11238
194.2 IPS |
