iPhone 15 Pro Max
Geekbench AI Score
3989
Single Precision Score
6880
Half Precision Score
5631
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 11:18 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
1716
319.1 IPS |
|
|
Image Classification (HP)
|
100% |
2937
546.3 IPS |
|
|
Image Classification (Q)
|
96% |
2027
378.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1604
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2397
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3087
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8329
9.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
16764
19.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14529
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1817
144.1 IPS |
|
|
Object Detection (HP)
|
97% |
3374
268.6 IPS |
|
|
Object Detection (Q)
|
94% |
2361
188.2 IPS |
|
|
Face Detection (SP)
|
100% |
3162
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6790
80.7 IPS |
|
|
Face Detection (Q)
|
100% |
3904
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7114
54.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13618
105.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9376
73.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21544
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32640
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27552
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5056
186.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5826
215.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4407
162.7 IPS |
|
|
Text Classification (SP)
|
100% |
3224
4.30 KIPS |
|
|
Text Classification (HP)
|
100% |
5605
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5574
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3105
53.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6063
104.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6031
104.2 IPS |
