iPhone 15 Pro Max
Geekbench AI Score
3907
Single Precision Score
24892
Half Precision Score
35057
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | aliensporebomb |
| Upload Date | January 06 2025 12:47 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1704
316.9 IPS |
|
|
Image Classification (HP)
|
100% |
10930
2.03 KIPS |
|
|
Image Classification (Q)
|
97% |
16291
3.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1606
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15802
256.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
20624
334.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7889
9.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
106340
124.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
202367
237.2 IPS |
|
|
Object Detection (SP)
|
100% |
1787
141.8 IPS |
|
|
Object Detection (HP)
|
100% |
13760
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
18929
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
3030
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
35392
420.5 IPS |
|
|
Face Detection (Q)
|
100% |
51493
611.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6874
53.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
78334
603.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
128546
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
20953
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
202857
260.8 IPS |
|
|
Style Transfer (Q)
|
96% |
246740
318.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4954
182.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33711
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59085
2.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3207
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
3089
4.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3038
4.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3102
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6172
106.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7432
128.4 IPS |
