iPhone 15 Pro Max
Geekbench AI Score
2927
Single Precision Score
19048
Half Precision Score
23004
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | crisss1205 |
| Upload Date | August 15 2024 11:07 PM |
| Views | 8 |
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% |
1393
259.0 IPS |
|
|
Image Classification (HP)
|
100% |
10988
2.04 KIPS |
|
|
Image Classification (Q)
|
99% |
12266
2.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1498
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9073
147.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
7514
121.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2991
3.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
68639
80.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
129333
151.7 IPS |
|
|
Object Detection (SP)
|
100% |
1353
107.3 IPS |
|
|
Object Detection (HP)
|
100% |
9115
723.0 IPS |
|
|
Object Detection (Q)
|
91% |
14243
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
1492
17.7 IPS |
|
|
Face Detection (HP)
|
100% |
14445
171.6 IPS |
|
|
Face Detection (Q)
|
100% |
29745
353.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5724
44.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
63741
491.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
70378
544.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16965
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
135533
174.2 IPS |
|
|
Style Transfer (Q)
|
100% |
137697
177.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4200
155.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34897
1.29 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
56552
2.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3101
4.14 KIPS |
|
|
Text Classification (HP)
|
100% |
3368
4.50 KIPS |
|
|
Text Classification (Q)
|
93% |
2015
2.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
2898
49.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6875
118.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7444
128.6 IPS |
