iPhone XS Max
Geekbench AI Score
654
Single Precision Score
782
Half Precision Score
293
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 31 2024 06:06 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone XS Max |
| Model ID | iPhone11,6 |
| Motherboard | D331pAP |
| CPU Information | |
|---|---|
| Name | Apple A12 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.67 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
229
42.6 IPS |
|
|
Image Classification (HP)
|
100% |
269
50.1 IPS |
|
|
Image Classification (Q)
|
96% |
139
25.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
215
3.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
249
4.04 IPS |
|
|
Image Segmentation (Q)
|
99% |
180
2.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
1645
1.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
2359
2.75 IPS |
|
|
Pose Estimation (Q)
|
96% |
686
0.80 IPS |
|
|
Object Detection (SP)
|
100% |
548
43.5 IPS |
|
|
Object Detection (HP)
|
100% |
566
44.9 IPS |
|
|
Object Detection (Q)
|
92% |
160
12.8 IPS |
|
|
Face Detection (SP)
|
100% |
1921
22.8 IPS |
|
|
Face Detection (HP)
|
100% |
2229
26.5 IPS |
|
|
Face Detection (Q)
|
100% |
254
3.01 IPS |
|
|
Depth Estimation (SP)
|
100% |
1685
13.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2071
16.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
427
3.33 IPS |
|
|
Style Transfer (SP)
|
100% |
4606
5.92 IPS |
|
|
Style Transfer (HP)
|
100% |
5585
7.18 IPS |
|
|
Style Transfer (Q)
|
96% |
1503
1.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
806
29.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1044
38.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
296
10.9 IPS |
|
|
Text Classification (SP)
|
100% |
146
195.0 IPS |
|
|
Text Classification (HP)
|
100% |
202
270.1 IPS |
|
|
Text Classification (Q)
|
93% |
203
272.1 IPS |
|
|
Machine Translation (SP)
|
100% |
185
3.19 IPS |
|
|
Machine Translation (HP)
|
100% |
177
3.05 IPS |
|
|
Machine Translation (Q)
|
98% |
177
3.07 IPS |
