iPhone 15 Pro Max
Geekbench AI Score
4012
Single Precision Score
21700
Half Precision Score
26444
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | krdrever |
| Upload Date | August 18 2024 04:22 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1685
313.4 IPS |
|
|
Image Classification (HP)
|
100% |
11232
2.09 KIPS |
|
|
Image Classification (Q)
|
99% |
12108
2.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1671
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
10636
172.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
11011
178.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8203
9.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
102262
119.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
197989
232.2 IPS |
|
|
Object Detection (SP)
|
100% |
1813
143.8 IPS |
|
|
Object Detection (HP)
|
100% |
13172
1.04 KIPS |
|
|
Object Detection (Q)
|
91% |
18933
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
3216
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
21936
260.7 IPS |
|
|
Face Detection (Q)
|
100% |
36528
434.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7244
55.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
65078
501.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
74008
572.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21699
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
139323
179.1 IPS |
|
|
Style Transfer (Q)
|
100% |
139507
179.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5167
190.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36337
1.34 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
58469
2.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3232
4.31 KIPS |
|
|
Text Classification (HP)
|
100% |
2843
3.79 KIPS |
|
|
Text Classification (Q)
|
93% |
2048
2.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3059
52.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7003
120.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7411
128.1 IPS |
