iPhone 15 Pro Max
Geekbench AI Score
3923
Single Precision Score
24418
Half Precision Score
33823
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | krdrever |
| Upload Date | September 07 2024 02:08 PM |
| Views | 4 |
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% |
1705
317.1 IPS |
|
|
Image Classification (HP)
|
100% |
11040
2.05 KIPS |
|
|
Image Classification (Q)
|
97% |
15579
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1602
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12751
206.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
15956
258.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7979
9.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
106779
124.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
203221
238.2 IPS |
|
|
Object Detection (SP)
|
100% |
1775
140.8 IPS |
|
|
Object Detection (HP)
|
100% |
13469
1.07 KIPS |
|
|
Object Detection (Q)
|
91% |
19071
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3116
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
34196
406.3 IPS |
|
|
Face Detection (Q)
|
100% |
48837
580.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7048
54.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
78751
606.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
128203
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
20856
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
203204
261.2 IPS |
|
|
Style Transfer (Q)
|
96% |
246013
317.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4928
182.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34319
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55816
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3202
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
3198
4.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3265
4.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3094
53.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6198
106.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7247
125.2 IPS |
