iPhone 15 Pro Max
Geekbench AI Score
3737
Single Precision Score
23398
Half Precision Score
33256
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | iPhonedo |
| Upload Date | March 03 2025 04:32 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1597
296.9 IPS |
|
|
Image Classification (HP)
|
100% |
11134
2.07 KIPS |
|
|
Image Classification (Q)
|
97% |
15809
2.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1661
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15596
252.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
20678
335.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7118
8.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
105278
122.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
202560
237.4 IPS |
|
|
Object Detection (SP)
|
100% |
1688
133.9 IPS |
|
|
Object Detection (HP)
|
100% |
13141
1.04 KIPS |
|
|
Object Detection (Q)
|
91% |
18423
1.47 KIPS |
|
|
Face Detection (SP)
|
100% |
2831
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
35582
422.8 IPS |
|
|
Face Detection (Q)
|
100% |
51122
607.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6558
50.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
79554
612.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
130676
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
19916
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
199258
256.1 IPS |
|
|
Style Transfer (Q)
|
96% |
253363
327.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4450
164.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34793
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
61328
2.26 KIPS |
|
|
Text Classification (SP)
|
100% |
3255
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
1568
2.09 KIPS |
|
|
Text Classification (Q)
|
93% |
1697
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3120
53.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6655
114.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7701
133.1 IPS |
