iPhone 16 Pro Max
Geekbench AI Score
4591
Single Precision Score
32580
Half Precision Score
43866
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 30 2025 11:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
2047
380.6 IPS |
|
|
Image Classification (HP)
|
100% |
15210
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20286
3.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1964
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18192
294.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23761
385.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9149
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
152445
177.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
291144
341.2 IPS |
|
|
Object Detection (SP)
|
100% |
2310
183.2 IPS |
|
|
Object Detection (HP)
|
100% |
16241
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22467
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3846
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
41187
489.4 IPS |
|
|
Face Detection (Q)
|
100% |
58027
689.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8195
63.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95106
732.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
158456
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
19930
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
244418
314.2 IPS |
|
|
Style Transfer (Q)
|
96% |
303100
391.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5472
202.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49591
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84204
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3377
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4261
5.69 KIPS |
|
|
Text Classification (Q)
|
93% |
3334
4.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
4220
72.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9724
167.5 IPS |
|
|
Machine Translation (Q)
|
98% |
10696
184.8 IPS |
