iPhone 16 Pro Max
Geekbench AI Score
4430
Single Precision Score
33634
Half Precision Score
46440
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 06:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1991
370.2 IPS |
|
|
Image Classification (HP)
|
100% |
15569
2.90 KIPS |
|
|
Image Classification (Q)
|
97% |
20751
3.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1905
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18218
295.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23818
386.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8801
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
153771
179.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
293733
344.3 IPS |
|
|
Object Detection (SP)
|
100% |
2159
171.3 IPS |
|
|
Object Detection (HP)
|
100% |
16419
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22955
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
3520
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
41169
489.2 IPS |
|
|
Face Detection (Q)
|
100% |
59483
706.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7804
60.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
94946
731.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
160343
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
20692
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
245454
315.5 IPS |
|
|
Style Transfer (Q)
|
96% |
305078
393.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5595
206.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51885
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87498
3.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3493
4.66 KIPS |
|
|
Text Classification (HP)
|
100% |
5175
6.91 KIPS |
|
|
Text Classification (Q)
|
93% |
4734
6.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3642
62.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10044
173.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11618
200.8 IPS |
