iPhone 15 Pro Max
Geekbench AI Score
3471
Single Precision Score
23724
Half Precision Score
32647
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | wangxin |
| Upload Date | September 19 2024 09:43 AM |
| Views | 2 |
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% |
1703
316.7 IPS |
|
|
Image Classification (HP)
|
100% |
10897
2.03 KIPS |
|
|
Image Classification (Q)
|
97% |
15109
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1605
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12863
208.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
15800
256.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8151
9.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
106313
124.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
201611
236.3 IPS |
|
|
Object Detection (SP)
|
100% |
1763
139.9 IPS |
|
|
Object Detection (HP)
|
100% |
13396
1.06 KIPS |
|
|
Object Detection (Q)
|
91% |
18563
1.48 KIPS |
|
|
Face Detection (SP)
|
100% |
3113
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
34240
406.8 IPS |
|
|
Face Detection (Q)
|
100% |
48702
578.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6945
53.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
77886
600.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
115883
906.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18045
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
178295
229.2 IPS |
|
|
Style Transfer (Q)
|
96% |
245821
317.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2261
83.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29963
1.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54221
2.00 KIPS |
|
|
Text Classification (SP)
|
100% |
2883
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
3285
4.38 KIPS |
|
|
Text Classification (Q)
|
93% |
2662
3.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2547
43.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6046
104.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7690
132.9 IPS |
