iPhone 15 Pro Max
Geekbench AI Score
3882
Single Precision Score
6755
Half Precision Score
5531
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | January 31 2025 09:58 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1702
316.5 IPS |
|
|
Image Classification (HP)
|
100% |
2905
540.3 IPS |
|
|
Image Classification (Q)
|
96% |
2005
374.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1596
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2401
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3066
49.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7761
9.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
15867
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13743
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1778
141.1 IPS |
|
|
Object Detection (HP)
|
97% |
3331
265.2 IPS |
|
|
Object Detection (Q)
|
94% |
2333
185.9 IPS |
|
|
Face Detection (SP)
|
100% |
3111
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
6652
79.0 IPS |
|
|
Face Detection (Q)
|
100% |
3808
45.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6799
52.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
13230
102.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9108
71.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20476
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
31677
40.7 IPS |
|
|
Style Transfer (Q)
|
96% |
26791
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4753
175.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5728
211.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4347
160.5 IPS |
|
|
Text Classification (SP)
|
100% |
3195
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5544
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5563
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3159
54.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6066
104.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6050
104.6 IPS |
