iPhone 15 Pro Max
Geekbench AI Score
4050
Single Precision Score
6910
Half Precision Score
6015
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | zedkiel |
| Upload Date | August 21 2024 12:16 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1715
319.0 IPS |
|
|
Image Classification (HP)
|
100% |
2931
545.1 IPS |
|
|
Image Classification (Q)
|
99% |
2905
541.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1620
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2406
39.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
2387
38.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8654
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17365
20.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
14981
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1819
144.3 IPS |
|
|
Object Detection (HP)
|
97% |
3379
269.0 IPS |
|
|
Object Detection (Q)
|
94% |
2354
187.6 IPS |
|
|
Face Detection (SP)
|
100% |
3184
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
6720
79.9 IPS |
|
|
Face Detection (Q)
|
100% |
3881
46.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7241
55.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13591
105.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
13506
104.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22122
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32892
42.3 IPS |
|
|
Style Transfer (Q)
|
100% |
32787
42.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5316
196.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5837
215.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4397
162.9 IPS |
|
|
Text Classification (SP)
|
100% |
3187
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5586
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5638
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3147
54.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6124
105.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5960
103.0 IPS |
