iPhone 15 Pro Max
Geekbench AI Score
3925
Single Precision Score
24732
Half Precision Score
33277
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 02 2025 06:59 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1702
316.4 IPS |
|
|
Image Classification (HP)
|
100% |
10821
2.01 KIPS |
|
|
Image Classification (Q)
|
97% |
15370
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1606
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15607
253.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
21078
341.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7935
9.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
106281
124.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
200366
234.8 IPS |
|
|
Object Detection (SP)
|
100% |
1779
141.1 IPS |
|
|
Object Detection (HP)
|
100% |
13619
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
18776
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
3154
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
33778
401.4 IPS |
|
|
Face Detection (Q)
|
100% |
50033
594.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6978
53.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
78565
605.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
126860
991.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20879
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
202082
259.8 IPS |
|
|
Style Transfer (Q)
|
96% |
247852
319.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4930
182.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35113
1.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58314
2.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3207
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
3105
4.14 KIPS |
|
|
Text Classification (Q)
|
93% |
2151
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3099
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5991
103.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6924
119.7 IPS |
