iPhone XS Max
Geekbench AI Score
644
Single Precision Score
745
Half Precision Score
291
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 03:18 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
221
41.1 IPS |
|
|
Image Classification (HP)
|
100% |
268
49.8 IPS |
|
|
Image Classification (Q)
|
96% |
141
26.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
223
3.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
257
4.16 IPS |
|
|
Image Segmentation (Q)
|
99% |
181
2.94 IPS |
|
|
Pose Estimation (SP)
|
100% |
1557
1.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
2020
2.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
674
0.79 IPS |
|
|
Object Detection (SP)
|
100% |
533
42.3 IPS |
|
|
Object Detection (HP)
|
100% |
560
44.4 IPS |
|
|
Object Detection (Q)
|
92% |
158
12.6 IPS |
|
|
Face Detection (SP)
|
100% |
1924
22.9 IPS |
|
|
Face Detection (HP)
|
100% |
2244
26.7 IPS |
|
|
Face Detection (Q)
|
100% |
253
3.00 IPS |
|
|
Depth Estimation (SP)
|
100% |
1680
12.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2036
15.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
426
3.33 IPS |
|
|
Style Transfer (SP)
|
100% |
4310
5.54 IPS |
|
|
Style Transfer (HP)
|
100% |
4079
5.24 IPS |
|
|
Style Transfer (Q)
|
96% |
1462
1.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
791
29.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1036
38.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
295
10.9 IPS |
|
|
Text Classification (SP)
|
100% |
150
200.0 IPS |
|
|
Text Classification (HP)
|
100% |
203
271.1 IPS |
|
|
Text Classification (Q)
|
93% |
203
272.3 IPS |
|
|
Machine Translation (SP)
|
100% |
183
3.15 IPS |
|
|
Machine Translation (HP)
|
100% |
173
2.98 IPS |
|
|
Machine Translation (Q)
|
98% |
171
2.95 IPS |
