iPhone 16 Pro Max
Geekbench AI Score
4602
Single Precision Score
32897
Half Precision Score
45159
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | shagger1111 |
| Upload Date | April 10 2025 12:23 PM |
| 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% |
2058
382.8 IPS |
|
|
Image Classification (HP)
|
100% |
15237
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20182
3.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1986
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18330
297.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24152
391.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9191
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
152831
178.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
291945
342.2 IPS |
|
|
Object Detection (SP)
|
100% |
2328
184.7 IPS |
|
|
Object Detection (HP)
|
100% |
16157
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22988
1.84 KIPS |
|
|
Face Detection (SP)
|
100% |
3869
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
41185
489.4 IPS |
|
|
Face Detection (Q)
|
100% |
58050
689.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8209
63.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
95066
732.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
162577
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
19886
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
245415
315.5 IPS |
|
|
Style Transfer (Q)
|
96% |
301783
389.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5410
199.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50693
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83718
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3379
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4396
5.87 KIPS |
|
|
Text Classification (Q)
|
93% |
3985
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
4223
72.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10053
173.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11349
196.1 IPS |
