iPhone 15 Pro Max
Geekbench AI Score
4075
Single Precision Score
21430
Half Precision Score
27879
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | zedkiel |
| Upload Date | August 21 2024 12:12 AM |
| Views | 6 |
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% |
1711
318.1 IPS |
|
|
Image Classification (HP)
|
100% |
10484
1.95 KIPS |
|
|
Image Classification (Q)
|
99% |
12890
2.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1619
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
10807
175.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
10734
174.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8949
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
102372
119.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
198492
232.8 IPS |
|
|
Object Detection (SP)
|
100% |
1838
145.8 IPS |
|
|
Object Detection (HP)
|
100% |
13028
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
18723
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
3221
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
21832
259.4 IPS |
|
|
Face Detection (Q)
|
100% |
36684
435.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7363
56.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
64862
499.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
74218
573.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22100
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
138604
178.2 IPS |
|
|
Style Transfer (Q)
|
100% |
138138
177.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5313
196.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35685
1.32 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
55645
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3196
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
3118
4.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3755
5.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3117
53.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6191
106.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7020
121.3 IPS |
