iPhone 15 Pro Max
Geekbench AI Score
3723
Single Precision Score
6557
Half Precision Score
5347
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 12:25 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.7 |
| 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% |
1626
302.4 IPS |
|
|
Image Classification (HP)
|
100% |
2832
526.7 IPS |
|
|
Image Classification (Q)
|
96% |
1958
365.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1553
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2276
36.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2902
47.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7492
8.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
14918
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12972
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1684
133.6 IPS |
|
|
Object Detection (HP)
|
97% |
3171
252.4 IPS |
|
|
Object Detection (Q)
|
94% |
2205
175.8 IPS |
|
|
Face Detection (SP)
|
100% |
2985
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
6341
75.3 IPS |
|
|
Face Detection (Q)
|
100% |
3556
42.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6457
49.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12228
94.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8537
66.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19375
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
31574
40.6 IPS |
|
|
Style Transfer (Q)
|
96% |
25300
32.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4444
164.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5471
202.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4245
156.8 IPS |
|
|
Text Classification (SP)
|
100% |
3136
4.19 KIPS |
|
|
Text Classification (HP)
|
100% |
5559
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5500
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3087
53.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6473
111.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6562
113.4 IPS |
