iPhone 16 Pro Max
Geekbench AI Score
4420
Single Precision Score
32498
Half Precision Score
45079
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | sellen |
| Upload Date | March 06 2025 04:24 PM |
| Views | 8 |
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% |
2015
374.6 IPS |
|
|
Image Classification (HP)
|
100% |
15250
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20202
3.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1914
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18293
296.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24122
391.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8522
9.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
152337
177.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
292358
342.7 IPS |
|
|
Object Detection (SP)
|
100% |
2121
168.3 IPS |
|
|
Object Detection (HP)
|
100% |
16147
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22539
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3438
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
41178
489.3 IPS |
|
|
Face Detection (Q)
|
100% |
58093
690.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7364
56.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
94734
729.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
163698
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
23211
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
245161
315.2 IPS |
|
|
Style Transfer (Q)
|
96% |
300970
388.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5476
202.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50420
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83118
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3415
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4285
5.72 KIPS |
|
|
Text Classification (Q)
|
93% |
4045
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3723
64.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9269
159.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11215
193.8 IPS |
