iPhone XS Max
Geekbench AI Score
449
Single Precision Score
1984
Half Precision Score
686
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | mulnir |
| Upload Date | August 16 2024 10:45 PM |
| Views | 8 |
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% |
261
48.5 IPS |
|
|
Image Classification (HP)
|
100% |
2107
391.8 IPS |
|
|
Image Classification (Q)
|
99% |
2210
412.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
244
3.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
392
6.35 IPS |
|
|
Image Segmentation (Q)
|
100% |
391
6.33 IPS |
|
|
Pose Estimation (SP)
|
100% |
1052
1.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
21194
24.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
722
0.85 IPS |
|
|
Object Detection (SP)
|
100% |
233
18.4 IPS |
|
|
Object Detection (HP)
|
100% |
1375
109.1 IPS |
|
|
Object Detection (Q)
|
94% |
179
14.3 IPS |
|
|
Face Detection (SP)
|
100% |
589
7.00 IPS |
|
|
Face Detection (HP)
|
100% |
5215
62.0 IPS |
|
|
Face Detection (Q)
|
100% |
223
2.65 IPS |
|
|
Depth Estimation (SP)
|
100% |
577
4.44 IPS |
|
|
Depth Estimation (HP)
|
99% |
17503
134.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
18468
142.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1473
1.89 IPS |
|
|
Style Transfer (HP)
|
100% |
1459
1.88 IPS |
|
|
Style Transfer (Q)
|
100% |
1459
1.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
434
16.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3492
128.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
419
15.5 IPS |
|
|
Text Classification (SP)
|
100% |
265
353.5 IPS |
|
|
Text Classification (HP)
|
100% |
299
399.4 IPS |
|
|
Text Classification (Q)
|
93% |
294
394.7 IPS |
|
|
Machine Translation (SP)
|
100% |
374
6.44 IPS |
|
|
Machine Translation (HP)
|
100% |
283
4.88 IPS |
|
|
Machine Translation (Q)
|
98% |
280
4.85 IPS |
