iPhone 15 Pro Max
Geekbench AI Score
4000
Single Precision Score
21147
Half Precision Score
27468
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | leonardwongly |
| Upload Date | August 17 2024 03:29 AM |
| Views | 6 |
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% |
1701
316.3 IPS |
|
|
Image Classification (HP)
|
100% |
10578
1.97 KIPS |
|
|
Image Classification (Q)
|
99% |
12638
2.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1613
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
10871
176.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
10618
172.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8187
9.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
103585
120.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
197301
231.4 IPS |
|
|
Object Detection (SP)
|
100% |
1794
142.3 IPS |
|
|
Object Detection (HP)
|
100% |
13045
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
18575
1.48 KIPS |
|
|
Face Detection (SP)
|
100% |
3217
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
21651
257.3 IPS |
|
|
Face Detection (Q)
|
100% |
36441
433.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7228
55.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
63656
490.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
73909
571.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21385
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
137417
176.7 IPS |
|
|
Style Transfer (Q)
|
100% |
137985
177.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5077
187.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34504
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
55739
2.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3185
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
2947
3.93 KIPS |
|
|
Text Classification (Q)
|
93% |
3132
4.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3239
55.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5979
103.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7663
132.4 IPS |
