iPhone 15 Pro Max
Geekbench AI Score
3854
Single Precision Score
24886
Half Precision Score
34270
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | muhannad |
| Upload Date | December 20 2024 01:34 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1695
315.3 IPS |
|
|
Image Classification (HP)
|
100% |
10857
2.02 KIPS |
|
|
Image Classification (Q)
|
97% |
16281
3.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1580
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15923
258.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
20863
338.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7517
8.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
103865
121.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
203275
238.3 IPS |
|
|
Object Detection (SP)
|
100% |
1751
138.9 IPS |
|
|
Object Detection (HP)
|
100% |
13940
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
19267
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
3107
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
33748
401.0 IPS |
|
|
Face Detection (Q)
|
100% |
50247
597.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6788
52.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
78171
602.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
127154
994.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20407
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
204030
262.3 IPS |
|
|
Style Transfer (Q)
|
96% |
247358
319.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4758
175.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33859
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58200
2.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3203
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
3221
4.30 KIPS |
|
|
Text Classification (Q)
|
93% |
2472
3.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3129
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6202
106.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7388
127.7 IPS |
