iPhone 16 Pro Max
Geekbench AI Score
4444
Single Precision Score
32923
Half Precision Score
45962
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | BrentCato001 |
| Upload Date | March 13 2025 01:58 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
2004
372.7 IPS |
|
|
Image Classification (HP)
|
100% |
15142
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
20333
3.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1934
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18090
293.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24102
390.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8401
9.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
152884
178.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
293294
343.8 IPS |
|
|
Object Detection (SP)
|
100% |
2122
168.3 IPS |
|
|
Object Detection (HP)
|
100% |
16238
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22390
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3592
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
41206
489.6 IPS |
|
|
Face Detection (Q)
|
100% |
56333
669.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7594
58.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
94877
731.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
161099
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23219
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
245621
315.7 IPS |
|
|
Style Transfer (Q)
|
96% |
302093
389.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5297
195.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51052
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84077
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3443
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4739
6.32 KIPS |
|
|
Text Classification (Q)
|
93% |
4869
6.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3771
65.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9471
163.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11649
201.3 IPS |
