iPhone 15 Pro Max
Geekbench AI Score
3607
Single Precision Score
6626
Half Precision Score
5380
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | July 01 2025 06:30 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1493
277.7 IPS |
|
|
Image Classification (HP)
|
100% |
2927
544.3 IPS |
|
|
Image Classification (Q)
|
96% |
2019
377.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1515
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2273
36.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2933
47.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6610
7.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
14109
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12543
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1688
133.9 IPS |
|
|
Object Detection (HP)
|
97% |
3164
251.9 IPS |
|
|
Object Detection (Q)
|
94% |
2274
181.2 IPS |
|
|
Face Detection (SP)
|
100% |
2926
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
6462
76.8 IPS |
|
|
Face Detection (Q)
|
100% |
3610
42.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6289
48.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12232
94.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8493
66.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19502
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
31839
40.9 IPS |
|
|
Style Transfer (Q)
|
96% |
25613
33.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4304
158.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5954
219.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4263
157.4 IPS |
|
|
Text Classification (SP)
|
100% |
3120
4.16 KIPS |
|
|
Text Classification (HP)
|
99% |
5354
7.15 KIPS |
|
|
Text Classification (Q)
|
93% |
5220
7.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3071
52.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6856
118.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6895
119.2 IPS |
