iPhone 15 Pro Max
Geekbench AI Score
3878
Single Precision Score
24397
Half Precision Score
34167
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | pakitt |
| Upload Date | October 26 2024 04:20 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1673
311.0 IPS |
|
|
Image Classification (HP)
|
100% |
10636
1.98 KIPS |
|
|
Image Classification (Q)
|
97% |
15268
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1597
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
13043
211.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
16010
259.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7469
8.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
103299
120.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
202972
237.9 IPS |
|
|
Object Detection (SP)
|
100% |
1783
141.4 IPS |
|
|
Object Detection (HP)
|
100% |
13447
1.07 KIPS |
|
|
Object Detection (Q)
|
91% |
18803
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
3177
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
34364
408.3 IPS |
|
|
Face Detection (Q)
|
100% |
50428
599.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6917
53.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
79012
608.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
127191
994.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20399
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
203162
261.2 IPS |
|
|
Style Transfer (Q)
|
96% |
245434
316.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4852
179.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34022
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
62439
2.31 KIPS |
|
|
Text Classification (SP)
|
100% |
3220
4.30 KIPS |
|
|
Text Classification (HP)
|
100% |
3070
4.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3138
4.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3094
53.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6731
115.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7535
130.2 IPS |
