iPhone 15 Pro Max
Geekbench AI Score
3324
Single Precision Score
25635
Half Precision Score
36216
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 24 2025 12:17 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1218
226.4 IPS |
|
|
Image Classification (HP)
|
100% |
11568
2.15 KIPS |
|
|
Image Classification (Q)
|
97% |
16804
3.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1402
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16247
263.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
20621
334.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6072
7.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
100669
117.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
196343
230.1 IPS |
|
|
Object Detection (SP)
|
100% |
1559
123.6 IPS |
|
|
Object Detection (HP)
|
100% |
13477
1.07 KIPS |
|
|
Object Detection (Q)
|
91% |
19180
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
2636
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
36098
428.9 IPS |
|
|
Face Detection (Q)
|
100% |
52269
621.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5995
46.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
78877
607.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
135615
1.06 KIPS |
|
|
Style Transfer (SP)
|
100% |
18048
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
199626
256.6 IPS |
|
|
Style Transfer (Q)
|
96% |
254011
327.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3650
134.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34739
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59756
2.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3273
4.37 KIPS |
|
|
Text Classification (HP)
|
100% |
3311
4.42 KIPS |
|
|
Text Classification (Q)
|
93% |
3457
4.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2994
51.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7354
126.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7999
138.2 IPS |
