iPhone 15 Pro Max
Geekbench AI Score
4074
Single Precision Score
6930
Half Precision Score
5679
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Jaleelajmal |
| Upload Date | September 22 2024 11:14 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1702
316.5 IPS |
|
|
Image Classification (HP)
|
100% |
2917
542.5 IPS |
|
|
Image Classification (Q)
|
96% |
2023
377.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1624
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2401
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3088
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9126
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17655
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15177
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
1820
144.4 IPS |
|
|
Object Detection (HP)
|
97% |
3322
264.5 IPS |
|
|
Object Detection (Q)
|
94% |
2359
188.0 IPS |
|
|
Face Detection (SP)
|
100% |
3213
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
6750
80.2 IPS |
|
|
Face Detection (Q)
|
100% |
3883
46.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7398
57.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
13648
105.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9416
73.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22233
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
33149
42.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28161
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5327
196.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6114
225.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4514
166.7 IPS |
|
|
Text Classification (SP)
|
100% |
3127
4.17 KIPS |
|
|
Text Classification (HP)
|
100% |
5487
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5507
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3123
53.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6075
105.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6099
105.4 IPS |
