iPhone 15 Pro Max
Geekbench AI Score
3673
Single Precision Score
5456
Half Precision Score
4550
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | virtuatony95 |
| Upload Date | August 16 2024 01:10 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1629
303.0 IPS |
|
|
Image Classification (HP)
|
100% |
2212
411.3 IPS |
|
|
Image Classification (Q)
|
99% |
2197
409.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1407
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1338
21.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
1334
21.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7669
8.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
15908
18.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
13724
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1729
137.1 IPS |
|
|
Object Detection (HP)
|
97% |
2586
205.8 IPS |
|
|
Object Detection (Q)
|
94% |
1976
157.5 IPS |
|
|
Face Detection (SP)
|
100% |
2911
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
4911
58.3 IPS |
|
|
Face Detection (Q)
|
100% |
3136
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6168
47.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9580
74.0 IPS |
|
|
Depth Estimation (Q)
|
96% |
4932
38.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20053
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
30348
39.0 IPS |
|
|
Style Transfer (Q)
|
100% |
30363
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4589
169.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5757
212.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4340
160.8 IPS |
|
|
Text Classification (SP)
|
100% |
3158
4.21 KIPS |
|
|
Text Classification (HP)
|
100% |
5234
6.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5173
6.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2820
48.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4469
77.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4548
78.6 IPS |
