iPhone 15 Pro Max
Geekbench AI Score
3948
Single Precision Score
21194
Half Precision Score
26578
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | August 19 2024 05:04 AM |
| Views | 9 |
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% |
1708
317.6 IPS |
|
|
Image Classification (HP)
|
100% |
10217
1.90 KIPS |
|
|
Image Classification (Q)
|
99% |
12880
2.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1627
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
10940
177.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
10793
175.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7953
9.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
102821
120.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
199009
233.4 IPS |
|
|
Object Detection (SP)
|
100% |
1798
142.6 IPS |
|
|
Object Detection (HP)
|
100% |
13101
1.04 KIPS |
|
|
Object Detection (Q)
|
91% |
18624
1.49 KIPS |
|
|
Face Detection (SP)
|
100% |
3189
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
21770
258.7 IPS |
|
|
Face Detection (Q)
|
100% |
34997
415.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7097
54.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
63891
492.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
73634
569.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21086
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
136894
176.0 IPS |
|
|
Style Transfer (Q)
|
100% |
139117
178.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4879
180.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34042
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
54140
2.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3182
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
3087
4.12 KIPS |
|
|
Text Classification (Q)
|
93% |
2412
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3126
53.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6072
104.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7292
126.0 IPS |
