iPhone 15 Pro Max
Geekbench AI Score
3799
Single Precision Score
24347
Half Precision Score
33768
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | RGPphotog |
| Upload Date | September 21 2024 08:10 PM |
| Views | 8 |
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% |
1700
316.2 IPS |
|
|
Image Classification (HP)
|
100% |
10769
2.00 KIPS |
|
|
Image Classification (Q)
|
97% |
15188
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1583
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12911
209.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
16103
261.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7325
8.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
101559
118.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
201835
236.6 IPS |
|
|
Object Detection (SP)
|
100% |
1734
137.5 IPS |
|
|
Object Detection (HP)
|
100% |
13619
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
19081
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3071
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
33246
395.0 IPS |
|
|
Face Detection (Q)
|
100% |
48808
579.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6783
52.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
79006
608.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
126996
992.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19653
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
202561
260.4 IPS |
|
|
Style Transfer (Q)
|
96% |
246365
317.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4566
168.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33805
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58532
2.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3192
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
3112
4.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3103
4.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3073
52.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6802
117.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7381
127.5 IPS |
