iPhone 15 Pro Max
Geekbench AI Score
4017
Single Precision Score
24813
Half Precision Score
34775
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | oldnick |
| Upload Date | December 31 2024 01:17 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone 15 Pro Max |
| Model ID | iPhone16,2 |
| Motherboard | D84AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1702
316.6 IPS |
|
|
Image Classification (HP)
|
100% |
10878
2.02 KIPS |
|
|
Image Classification (Q)
|
97% |
15190
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1594
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15946
258.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
20793
337.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8400
9.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
106136
123.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
202796
237.7 IPS |
|
|
Object Detection (SP)
|
100% |
1839
145.9 IPS |
|
|
Object Detection (HP)
|
100% |
13826
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18608
1.49 KIPS |
|
|
Face Detection (SP)
|
100% |
3186
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
33539
398.5 IPS |
|
|
Face Detection (Q)
|
100% |
49249
585.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7203
55.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
78379
603.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
128457
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
21923
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
204197
262.5 IPS |
|
|
Style Transfer (Q)
|
96% |
249300
321.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5120
189.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33859
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59764
2.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3234
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
3142
4.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3141
4.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3136
54.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6088
104.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7331
126.7 IPS |
