iPhone XS Max
Geekbench AI Score
439
Single Precision Score
1928
Half Precision Score
336
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Bxckam1422 |
| Upload Date | December 11 2024 09:25 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
202
37.5 IPS |
|
|
Image Classification (HP)
|
100% |
1960
364.5 IPS |
|
|
Image Classification (Q)
|
99% |
152
28.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
203
3.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
349
5.66 IPS |
|
|
Image Segmentation (Q)
|
99% |
163
2.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
857
1.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
21996
25.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
723
0.85 IPS |
|
|
Object Detection (SP)
|
100% |
248
19.6 IPS |
|
|
Object Detection (HP)
|
100% |
1315
104.3 IPS |
|
|
Object Detection (Q)
|
94% |
186
14.8 IPS |
|
|
Face Detection (SP)
|
100% |
565
6.71 IPS |
|
|
Face Detection (HP)
|
100% |
4944
58.7 IPS |
|
|
Face Detection (Q)
|
100% |
246
2.92 IPS |
|
|
Depth Estimation (SP)
|
100% |
648
4.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
15291
117.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
426
3.33 IPS |
|
|
Style Transfer (SP)
|
100% |
1719
2.21 IPS |
|
|
Style Transfer (HP)
|
100% |
1695
2.18 IPS |
|
|
Style Transfer (Q)
|
96% |
1413
1.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
530
19.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3351
123.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
442
16.3 IPS |
|
|
Text Classification (SP)
|
100% |
243
324.5 IPS |
|
|
Text Classification (HP)
|
100% |
280
374.0 IPS |
|
|
Text Classification (Q)
|
93% |
281
377.4 IPS |
|
|
Machine Translation (SP)
|
100% |
377
6.49 IPS |
|
|
Machine Translation (HP)
|
100% |
299
5.15 IPS |
|
|
Machine Translation (Q)
|
98% |
303
5.24 IPS |
