iPhone 15 Pro Max
Geekbench AI Score
3992
Single Precision Score
25068
Half Precision Score
34902
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ksaldano |
| Upload Date | November 12 2024 01:05 PM |
| Views | 7 |
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% |
1694
315.0 IPS |
|
|
Image Classification (HP)
|
100% |
11439
2.13 KIPS |
|
|
Image Classification (Q)
|
97% |
14883
2.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1611
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16111
261.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
20846
337.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8042
9.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
106311
124.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
203230
238.2 IPS |
|
|
Object Detection (SP)
|
100% |
1807
143.3 IPS |
|
|
Object Detection (HP)
|
100% |
13798
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
18888
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
3231
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
34378
408.5 IPS |
|
|
Face Detection (Q)
|
100% |
50703
602.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7210
55.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
78598
605.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
128801
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
21617
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
202221
260.0 IPS |
|
|
Style Transfer (Q)
|
96% |
246766
318.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5105
188.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34511
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
60030
2.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3249
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
3076
4.11 KIPS |
|
|
Text Classification (Q)
|
93% |
3127
4.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3105
53.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6250
107.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7446
128.7 IPS |
