iPhone 15 Pro Max
Geekbench AI Score
3867
Single Precision Score
24674
Half Precision Score
34386
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | December 06 2024 06:14 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1614
300.2 IPS |
|
|
Image Classification (HP)
|
100% |
10905
2.03 KIPS |
|
|
Image Classification (Q)
|
97% |
15730
2.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1549
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15523
251.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
20280
328.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7856
9.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
106244
124.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
202489
237.3 IPS |
|
|
Object Detection (SP)
|
100% |
1785
141.6 IPS |
|
|
Object Detection (HP)
|
100% |
13563
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
18892
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
3007
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
34233
406.8 IPS |
|
|
Face Detection (Q)
|
100% |
50604
601.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7057
54.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
78083
601.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
125233
979.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21368
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
202203
259.9 IPS |
|
|
Style Transfer (Q)
|
96% |
245095
316.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4759
175.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34409
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
61908
2.29 KIPS |
|
|
Text Classification (SP)
|
100% |
3195
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
3097
4.13 KIPS |
|
|
Text Classification (Q)
|
93% |
2688
3.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3101
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5953
102.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7329
126.7 IPS |
