iPhone 15 Pro Max
Geekbench AI Score
3900
Single Precision Score
6786
Half Precision Score
5565
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 01:42 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1681
312.7 IPS |
|
|
Image Classification (HP)
|
100% |
2925
543.9 IPS |
|
|
Image Classification (Q)
|
96% |
2020
377.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1600
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2393
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3081
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7829
9.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
16048
18.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13993
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1772
140.6 IPS |
|
|
Object Detection (HP)
|
97% |
3354
267.0 IPS |
|
|
Object Detection (Q)
|
94% |
2338
186.3 IPS |
|
|
Face Detection (SP)
|
100% |
3130
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
6757
80.3 IPS |
|
|
Face Detection (Q)
|
100% |
3866
45.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6944
53.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13244
102.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9275
72.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20887
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32192
41.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27070
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4858
179.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5763
212.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4382
161.8 IPS |
|
|
Text Classification (SP)
|
100% |
3195
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5493
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5466
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3097
53.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6028
104.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6018
104.0 IPS |
