iPhone 15 Pro Max
Geekbench AI Score
3875
Single Precision Score
24908
Half Precision Score
34795
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | khancool96 |
| Upload Date | December 12 2024 05:17 PM |
| 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% |
1693
314.9 IPS |
|
|
Image Classification (HP)
|
100% |
11447
2.13 KIPS |
|
|
Image Classification (Q)
|
97% |
15354
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1590
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15688
254.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
20888
338.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7679
8.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
103983
121.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
203370
238.4 IPS |
|
|
Object Detection (SP)
|
100% |
1768
140.3 IPS |
|
|
Object Detection (HP)
|
100% |
13636
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
18823
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
3144
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
34011
404.1 IPS |
|
|
Face Detection (Q)
|
100% |
50877
604.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6790
52.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
77700
598.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
124898
976.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20408
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
205580
264.3 IPS |
|
|
Style Transfer (Q)
|
96% |
248611
320.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4801
177.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33385
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57093
2.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3206
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
3069
4.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3153
4.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3116
53.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6487
111.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7451
128.8 IPS |
