iPhone 16 Pro Max
Geekbench AI Score
4658
Single Precision Score
31764
Half Precision Score
43207
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | iPhonedo |
| Upload Date | March 03 2025 02:56 AM |
| Views | 4 |
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% |
2069
384.8 IPS |
|
|
Image Classification (HP)
|
100% |
15027
2.79 KIPS |
|
|
Image Classification (Q)
|
97% |
20587
3.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1957
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18151
294.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24159
391.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9512
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
154575
180.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
294246
344.9 IPS |
|
|
Object Detection (SP)
|
100% |
2370
188.0 IPS |
|
|
Object Detection (HP)
|
100% |
16198
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22820
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3890
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
41184
489.4 IPS |
|
|
Face Detection (Q)
|
100% |
57639
684.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8296
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
98721
760.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
161997
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
20473
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
245616
315.7 IPS |
|
|
Style Transfer (Q)
|
96% |
303859
392.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5577
205.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50350
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85521
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3395
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
3057
4.08 KIPS |
|
|
Text Classification (Q)
|
93% |
2532
3.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4220
72.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9963
171.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11052
191.0 IPS |
