iPhone 15 Pro Max
Geekbench AI Score
3606
Single Precision Score
5426
Half Precision Score
4505
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | mrxoom1974 |
| Upload Date | August 16 2024 04:44 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1634
303.8 IPS |
|
|
Image Classification (HP)
|
100% |
2198
408.8 IPS |
|
|
Image Classification (Q)
|
99% |
2202
410.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1388
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1331
21.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
1352
21.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7280
8.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
15416
18.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
13360
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1709
135.5 IPS |
|
|
Object Detection (HP)
|
97% |
2544
202.5 IPS |
|
|
Object Detection (Q)
|
94% |
1949
155.4 IPS |
|
|
Face Detection (SP)
|
100% |
2829
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
4851
57.6 IPS |
|
|
Face Detection (Q)
|
100% |
3109
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6139
47.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
9517
73.5 IPS |
|
|
Depth Estimation (Q)
|
96% |
4834
37.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19657
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
29967
38.5 IPS |
|
|
Style Transfer (Q)
|
100% |
29975
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4504
166.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5837
215.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4301
159.3 IPS |
|
|
Text Classification (SP)
|
100% |
3159
4.22 KIPS |
|
|
Text Classification (HP)
|
100% |
5275
7.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5153
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
2719
46.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4533
78.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4457
77.0 IPS |
