iPhone 15 Pro Max
Geekbench AI Score
3739
Single Precision Score
27067
Half Precision Score
37173
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 18 2025 06:33 AM |
| Views | 2 |
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% |
1574
292.7 IPS |
|
|
Image Classification (HP)
|
100% |
10843
2.02 KIPS |
|
|
Image Classification (Q)
|
97% |
14051
2.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1559
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16592
269.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
21106
342.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7198
8.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
103733
121.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
206623
242.2 IPS |
|
|
Object Detection (SP)
|
100% |
1710
135.6 IPS |
|
|
Object Detection (HP)
|
100% |
13890
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18153
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
3068
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
34068
404.8 IPS |
|
|
Face Detection (Q)
|
100% |
50678
602.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6689
51.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
78151
602.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
122590
958.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19963
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
202958
260.9 IPS |
|
|
Style Transfer (Q)
|
96% |
246013
317.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4550
168.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34501
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57544
2.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2989
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5363
7.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5367
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3177
54.7 IPS |
|
|
Machine Translation (HP)
|
100% |
8146
140.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9598
165.9 IPS |
