iPhone 15 Pro Max
Geekbench AI Score
3970
Single Precision Score
24547
Half Precision Score
33855
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | pavelve |
| Upload Date | September 25 2024 12:36 PM |
| Views | 3 |
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% |
1723
320.4 IPS |
|
|
Image Classification (HP)
|
100% |
10781
2.00 KIPS |
|
|
Image Classification (Q)
|
97% |
15601
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1610
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12934
209.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
16008
259.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8082
9.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
106697
124.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
203934
239.0 IPS |
|
|
Object Detection (SP)
|
100% |
1798
142.6 IPS |
|
|
Object Detection (HP)
|
100% |
13691
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
19170
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3190
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
34436
409.2 IPS |
|
|
Face Detection (Q)
|
100% |
49337
586.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7062
54.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
78918
608.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
127173
994.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21197
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
204155
262.4 IPS |
|
|
Style Transfer (Q)
|
96% |
247505
319.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4994
184.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34446
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57072
2.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3202
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
3235
4.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3032
4.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3166
54.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6308
108.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7541
130.3 IPS |
