iPhone 15 Pro Max
Geekbench AI Score
3808
Single Precision Score
6781
Half Precision Score
5556
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 14 2025 01:24 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1638
304.7 IPS |
|
|
Image Classification (HP)
|
100% |
2968
551.9 IPS |
|
|
Image Classification (Q)
|
96% |
2006
374.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1613
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2327
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2991
48.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7459
8.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
15443
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13703
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1709
135.6 IPS |
|
|
Object Detection (HP)
|
97% |
3267
260.1 IPS |
|
|
Object Detection (Q)
|
94% |
2303
183.6 IPS |
|
|
Face Detection (SP)
|
100% |
3066
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
6577
78.2 IPS |
|
|
Face Detection (Q)
|
100% |
3705
44.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6625
51.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12676
98.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8733
68.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20228
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32521
41.8 IPS |
|
|
Style Transfer (Q)
|
96% |
27036
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4570
168.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5663
209.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4451
164.4 IPS |
|
|
Text Classification (SP)
|
100% |
3226
4.31 KIPS |
|
|
Text Classification (HP)
|
100% |
5725
7.64 KIPS |
|
|
Text Classification (Q)
|
93% |
5625
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3145
54.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6719
116.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6763
116.9 IPS |
