iPhone 16 Pro Max
Geekbench AI Score
4600
Single Precision Score
32733
Half Precision Score
45742
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 05 2025 06:55 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
2043
380.0 IPS |
|
|
Image Classification (HP)
|
100% |
15154
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
20739
3.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1948
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18206
295.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24097
390.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9186
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
153097
178.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
291533
341.7 IPS |
|
|
Object Detection (SP)
|
100% |
2335
185.2 IPS |
|
|
Object Detection (HP)
|
100% |
16279
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22570
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3876
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
40176
477.4 IPS |
|
|
Face Detection (Q)
|
100% |
57528
683.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8197
63.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
95025
732.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
158862
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
20259
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
245581
315.7 IPS |
|
|
Style Transfer (Q)
|
96% |
302320
390.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5430
200.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50390
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82924
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3364
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4360
5.82 KIPS |
|
|
Text Classification (Q)
|
93% |
4728
6.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
4229
72.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9971
171.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11258
194.5 IPS |
