iPhone 15 Pro Max
Geekbench AI Score
3976
Single Precision Score
21232
Half Precision Score
27559
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | alpha_p |
| Upload Date | August 15 2024 07:14 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1672
310.9 IPS |
|
|
Image Classification (HP)
|
100% |
10873
2.02 KIPS |
|
|
Image Classification (Q)
|
99% |
12879
2.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1706
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
10799
175.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
10794
175.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8179
9.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
103650
120.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
200448
235.1 IPS |
|
|
Object Detection (SP)
|
100% |
1796
142.4 IPS |
|
|
Object Detection (HP)
|
100% |
12650
1.00 KIPS |
|
|
Object Detection (Q)
|
91% |
18484
1.48 KIPS |
|
|
Face Detection (SP)
|
100% |
3205
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
21768
258.6 IPS |
|
|
Face Detection (Q)
|
100% |
36671
435.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7141
55.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
64982
500.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
74164
573.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21193
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
136823
175.9 IPS |
|
|
Style Transfer (Q)
|
100% |
138573
178.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5016
185.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34782
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
56639
2.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3118
4.16 KIPS |
|
|
Text Classification (HP)
|
100% |
2957
3.95 KIPS |
|
|
Text Classification (Q)
|
93% |
3078
4.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3114
53.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6075
104.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7468
129.1 IPS |
