iPhone 15 Pro Max
Geekbench AI Score
3993
Single Precision Score
24366
Half Precision Score
34285
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | virtuatony95 |
| Upload Date | September 10 2024 09:05 PM |
| Views | 12 |
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% |
1706
317.2 IPS |
|
|
Image Classification (HP)
|
100% |
10792
2.01 KIPS |
|
|
Image Classification (Q)
|
97% |
15355
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1684
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12986
210.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
16025
259.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8091
9.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
106720
124.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
204606
239.8 IPS |
|
|
Object Detection (SP)
|
100% |
1799
142.7 IPS |
|
|
Object Detection (HP)
|
100% |
13662
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
19342
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
3195
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
33665
400.0 IPS |
|
|
Face Detection (Q)
|
100% |
49510
588.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7137
55.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
78890
607.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
128968
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
21307
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
201913
259.6 IPS |
|
|
Style Transfer (Q)
|
96% |
245980
317.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5004
184.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34354
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56568
2.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3241
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
3122
4.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3346
4.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3128
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6278
108.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7754
134.0 IPS |
