iPhone 15 Pro Max
Geekbench AI Score
3929
Single Precision Score
24544
Half Precision Score
33676
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | pwodev |
| Upload Date | October 07 2024 12:58 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1670
310.5 IPS |
|
|
Image Classification (HP)
|
100% |
11341
2.11 KIPS |
|
|
Image Classification (Q)
|
97% |
15220
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1661
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
12825
207.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
15827
256.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8017
9.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
106331
124.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
202694
237.6 IPS |
|
|
Object Detection (SP)
|
100% |
1776
140.8 IPS |
|
|
Object Detection (HP)
|
100% |
13537
1.07 KIPS |
|
|
Object Detection (Q)
|
91% |
18710
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
3090
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
34975
415.6 IPS |
|
|
Face Detection (Q)
|
100% |
49885
592.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7049
54.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
79030
608.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
129796
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
21072
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
202954
260.9 IPS |
|
|
Style Transfer (Q)
|
96% |
246313
317.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4890
180.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35393
1.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56448
2.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3190
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
3095
4.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3069
4.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3106
53.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6168
106.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7433
128.4 IPS |
