iPhone 15 Pro Max
Geekbench AI Score
4041
Single Precision Score
21112
Half Precision Score
26063
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | asto18089 |
| Upload Date | August 16 2024 03:38 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1716
319.1 IPS |
|
|
Image Classification (HP)
|
100% |
10642
1.98 KIPS |
|
|
Image Classification (Q)
|
99% |
13038
2.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1616
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
10830
175.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
10980
178.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8654
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
102612
119.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
198776
233.2 IPS |
|
|
Object Detection (SP)
|
100% |
1831
145.2 IPS |
|
|
Object Detection (HP)
|
100% |
13066
1.04 KIPS |
|
|
Object Detection (Q)
|
91% |
18753
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
3222
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
21864
259.8 IPS |
|
|
Face Detection (Q)
|
100% |
34950
415.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7327
56.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
64271
495.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
74199
573.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21958
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
138147
177.6 IPS |
|
|
Style Transfer (Q)
|
100% |
138634
178.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5108
188.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34408
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
54109
2.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3208
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
2759
3.68 KIPS |
|
|
Text Classification (Q)
|
93% |
1898
2.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3114
53.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6179
106.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7342
126.9 IPS |
