iPhone XS Max
Geekbench AI Score
490
Single Precision Score
2049
Half Precision Score
734
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Bxckam1422 |
| Upload Date | August 22 2024 06:10 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
255
47.4 IPS |
|
|
Image Classification (HP)
|
100% |
2008
373.5 IPS |
|
|
Image Classification (Q)
|
99% |
2105
392.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
243
3.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
391
6.34 IPS |
|
|
Image Segmentation (Q)
|
100% |
397
6.44 IPS |
|
|
Pose Estimation (SP)
|
100% |
1108
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
21409
25.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
812
0.95 IPS |
|
|
Object Detection (SP)
|
100% |
253
20.1 IPS |
|
|
Object Detection (HP)
|
100% |
1381
109.6 IPS |
|
|
Object Detection (Q)
|
94% |
196
15.7 IPS |
|
|
Face Detection (SP)
|
100% |
621
7.38 IPS |
|
|
Face Detection (HP)
|
100% |
5294
62.9 IPS |
|
|
Face Detection (Q)
|
100% |
230
2.73 IPS |
|
|
Depth Estimation (SP)
|
100% |
646
4.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
18550
142.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
18885
146.0 IPS |
|
|
Style Transfer (SP)
|
100% |
1826
2.35 IPS |
|
|
Style Transfer (HP)
|
100% |
1753
2.25 IPS |
|
|
Style Transfer (Q)
|
100% |
1804
2.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
557
20.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3542
130.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
469
17.4 IPS |
|
|
Text Classification (SP)
|
100% |
270
360.5 IPS |
|
|
Text Classification (HP)
|
100% |
304
406.0 IPS |
|
|
Text Classification (Q)
|
93% |
299
400.8 IPS |
|
|
Machine Translation (SP)
|
100% |
425
7.31 IPS |
|
|
Machine Translation (HP)
|
100% |
304
5.23 IPS |
|
|
Machine Translation (Q)
|
98% |
312
5.40 IPS |
