iPhone 16 Pro Max
Geekbench AI Score
4564
Single Precision Score
32809
Half Precision Score
45597
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 07 2025 04:13 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1979
368.1 IPS |
|
|
Image Classification (HP)
|
100% |
15639
2.91 KIPS |
|
|
Image Classification (Q)
|
97% |
19547
3.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1929
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18144
294.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24190
392.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8910
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
154284
180.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
294173
344.8 IPS |
|
|
Object Detection (SP)
|
100% |
2184
173.2 IPS |
|
|
Object Detection (HP)
|
100% |
16196
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22735
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3608
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
41164
489.1 IPS |
|
|
Face Detection (Q)
|
100% |
58488
695.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8007
61.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
95370
734.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
160193
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
24589
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
246177
316.5 IPS |
|
|
Style Transfer (Q)
|
96% |
303676
391.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5670
209.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50652
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84118
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3488
4.66 KIPS |
|
|
Text Classification (HP)
|
100% |
4476
5.97 KIPS |
|
|
Text Classification (Q)
|
93% |
4553
6.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3759
64.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9303
160.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11274
194.8 IPS |
