iPhone 15 Pro Max
Geekbench AI Score
3717
Single Precision Score
4302
Half Precision Score
3750
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 09:47 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
2303
428.4 IPS |
|
|
Image Classification (HP)
|
100% |
2573
478.6 IPS |
|
|
Image Classification (Q)
|
97% |
2022
377.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2890
46.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3922
63.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3989
64.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
14364
16.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
14464
16.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
10310
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
1881
149.2 IPS |
|
|
Object Detection (HP)
|
100% |
2193
173.9 IPS |
|
|
Object Detection (Q)
|
91% |
2188
174.8 IPS |
|
|
Face Detection (SP)
|
100% |
6141
73.0 IPS |
|
|
Face Detection (HP)
|
100% |
4533
53.9 IPS |
|
|
Face Detection (Q)
|
100% |
3081
36.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7206
55.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8403
64.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
6735
52.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14244
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
21209
27.3 IPS |
|
|
Style Transfer (Q)
|
96% |
16174
20.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4001
147.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4579
169.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4854
179.2 IPS |
|
|
Text Classification (SP)
|
100% |
2352
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4161
5.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4177
5.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
473
8.15 IPS |
|
|
Machine Translation (HP)
|
100% |
441
7.60 IPS |
|
|
Machine Translation (Q)
|
98% |
445
7.69 IPS |
