iPhone 16 Pro Max
Geekbench AI Score
4482
Single Precision Score
33175
Half Precision Score
46539
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | blackowl |
| Upload Date | December 13 2024 01:58 AM |
| Views | 2 |
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% |
1995
371.0 IPS |
|
|
Image Classification (HP)
|
100% |
15763
2.93 KIPS |
|
|
Image Classification (Q)
|
97% |
20839
3.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1939
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18339
297.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24041
389.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8450
9.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
154177
179.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
293920
344.5 IPS |
|
|
Object Detection (SP)
|
100% |
2149
170.4 IPS |
|
|
Object Detection (HP)
|
100% |
16409
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
23111
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
3485
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
41610
494.4 IPS |
|
|
Face Detection (Q)
|
100% |
57883
687.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7694
59.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
95572
736.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
164494
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
23785
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
246136
316.4 IPS |
|
|
Style Transfer (Q)
|
96% |
303682
391.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5586
206.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50981
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86468
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3472
4.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4680
6.25 KIPS |
|
|
Text Classification (Q)
|
93% |
4773
6.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3766
64.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9455
162.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11738
202.9 IPS |
