iPhone 16 Pro Max
Geekbench AI Score
4680
Single Precision Score
33258
Half Precision Score
45416
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | April 07 2025 01:22 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2036
378.7 IPS |
|
|
Image Classification (HP)
|
100% |
15008
2.79 KIPS |
|
|
Image Classification (Q)
|
97% |
21084
3.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1943
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18133
293.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24132
391.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9299
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
153813
179.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
292494
342.8 IPS |
|
|
Object Detection (SP)
|
100% |
2350
186.4 IPS |
|
|
Object Detection (HP)
|
100% |
16336
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22359
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3949
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
41179
489.3 IPS |
|
|
Face Detection (Q)
|
100% |
57074
678.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8358
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
95145
733.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
162785
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
21117
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
245644
315.8 IPS |
|
|
Style Transfer (Q)
|
96% |
303327
391.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5760
212.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50258
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83499
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3385
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4971
6.64 KIPS |
|
|
Text Classification (Q)
|
93% |
4371
5.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
4299
74.1 IPS |
|
|
Machine Translation (HP)
|
100% |
10070
173.5 IPS |
|
|
Machine Translation (Q)
|
98% |
10910
188.5 IPS |
