iPhone 16 Pro Max
Geekbench AI Score
5816
Single Precision Score
6788
Half Precision Score
6203
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 04 2024 01:08 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3027
563.0 IPS |
|
|
Image Classification (HP)
|
100% |
2494
463.9 IPS |
|
|
Image Classification (Q)
|
97% |
2963
553.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3390
55.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4465
72.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4443
72.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15780
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16543
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15627
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3274
259.7 IPS |
|
|
Object Detection (HP)
|
100% |
3752
297.6 IPS |
|
|
Object Detection (Q)
|
91% |
3162
252.7 IPS |
|
|
Face Detection (SP)
|
100% |
7739
92.0 IPS |
|
|
Face Detection (HP)
|
100% |
10805
128.4 IPS |
|
|
Face Detection (Q)
|
100% |
7243
86.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13791
106.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
15021
115.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
12734
99.5 IPS |
|
|
Style Transfer (SP)
|
100% |
33087
42.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39757
51.1 IPS |
|
|
Style Transfer (Q)
|
96% |
36406
47.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8070
298.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8496
313.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6887
254.3 IPS |
|
|
Text Classification (SP)
|
100% |
3436
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5979
7.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5948
7.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
854
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
917
15.8 IPS |
|
|
Machine Translation (Q)
|
98% |
944
16.3 IPS |
