iPhone 15 Pro Max
Geekbench AI Score
3705
Single Precision Score
26861
Half Precision Score
37083
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 16 2025 12:41 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1567
291.3 IPS |
|
|
Image Classification (HP)
|
100% |
10855
2.02 KIPS |
|
|
Image Classification (Q)
|
97% |
15733
2.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1579
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16347
265.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
20910
339.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7220
8.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
102242
119.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
193637
227.0 IPS |
|
|
Object Detection (SP)
|
100% |
1720
136.4 IPS |
|
|
Object Detection (HP)
|
100% |
13859
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
17307
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3029
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
34119
405.4 IPS |
|
|
Face Detection (Q)
|
100% |
50058
594.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6559
50.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
77500
597.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
124084
970.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19528
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
201838
259.5 IPS |
|
|
Style Transfer (Q)
|
96% |
247307
319.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4452
164.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33753
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58081
2.14 KIPS |
|
|
Text Classification (SP)
|
100% |
2980
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5276
7.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5409
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3084
53.1 IPS |
|
|
Machine Translation (HP)
|
100% |
8185
141.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9244
159.8 IPS |
