iPhone 15 Pro Max
Geekbench AI Score
4927
Single Precision Score
5745
Half Precision Score
4192
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | karen_he |
| Upload Date | August 15 2024 07:28 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
2093
389.3 IPS |
|
|
Image Classification (HP)
|
100% |
1873
348.2 IPS |
|
|
Image Classification (Q)
|
99% |
2240
417.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2880
46.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3927
63.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
3921
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14652
17.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
15517
18.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
12956
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
2405
190.8 IPS |
|
|
Object Detection (HP)
|
100% |
2759
218.9 IPS |
|
|
Object Detection (Q)
|
91% |
2191
175.1 IPS |
|
|
Face Detection (SP)
|
100% |
6264
74.4 IPS |
|
|
Face Detection (HP)
|
100% |
7813
92.8 IPS |
|
|
Face Detection (Q)
|
100% |
6241
74.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11175
86.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
12773
98.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
1218
9.42 IPS |
|
|
Style Transfer (SP)
|
100% |
29506
37.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34060
43.8 IPS |
|
|
Style Transfer (Q)
|
100% |
31342
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6623
244.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6988
258.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5341
197.9 IPS |
|
|
Text Classification (SP)
|
100% |
3244
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
5537
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5571
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
895
15.4 IPS |
|
|
Machine Translation (HP)
|
100% |
946
16.3 IPS |
|
|
Machine Translation (Q)
|
98% |
950
16.4 IPS |
