iPhone 15 Pro Max
Geekbench AI Score
2292
Single Precision Score
6790
Half Precision Score
22035
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 04:35 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1321
245.6 IPS |
|
|
Image Classification (HP)
|
100% |
12035
2.24 KIPS |
|
|
Image Classification (Q)
|
97% |
16297
3.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1045
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
11570
187.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
16172
262.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5829
6.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
91542
106.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
97940
114.8 IPS |
|
|
Object Detection (SP)
|
100% |
1165
92.4 IPS |
|
|
Object Detection (HP)
|
100% |
7320
580.6 IPS |
|
|
Object Detection (Q)
|
91% |
17444
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
1605
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
21329
253.4 IPS |
|
|
Face Detection (Q)
|
100% |
32738
389.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3813
29.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
45893
353.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
72422
566.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11014
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
189731
243.9 IPS |
|
|
Style Transfer (Q)
|
96% |
257049
331.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3566
131.7 IPS |
|
|
Image Super-Resolution (HP)
|
0
|
||
|
Image Super-Resolution (Q)
|
99% |
30685
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
953
1.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2552
3.41 KIPS |
|
|
Text Classification (Q)
|
93% |
721
968.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1867
32.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4715
81.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4446
76.8 IPS |
