iPhone XS
Geekbench AI Score
458
Single Precision Score
2002
Half Precision Score
335
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 03:58 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| Model | iPhone XS |
| Model ID | iPhone11,2 |
| Motherboard | D321AP |
| 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 | 3.69 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
274
51.0 IPS |
|
|
Image Classification (HP)
|
100% |
1994
370.9 IPS |
|
|
Image Classification (Q)
|
99% |
174
32.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
245
3.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
390
6.33 IPS |
|
|
Image Segmentation (Q)
|
99% |
194
3.15 IPS |
|
|
Pose Estimation (SP)
|
100% |
1037
1.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
22716
26.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
753
0.88 IPS |
|
|
Object Detection (SP)
|
100% |
268
21.2 IPS |
|
|
Object Detection (HP)
|
100% |
1380
109.5 IPS |
|
|
Object Detection (Q)
|
94% |
195
15.6 IPS |
|
|
Face Detection (SP)
|
100% |
592
7.04 IPS |
|
|
Face Detection (HP)
|
100% |
5215
62.0 IPS |
|
|
Face Detection (Q)
|
100% |
238
2.83 IPS |
|
|
Depth Estimation (SP)
|
100% |
631
4.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
18705
144.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
381
2.98 IPS |
|
|
Style Transfer (SP)
|
100% |
1402
1.80 IPS |
|
|
Style Transfer (HP)
|
100% |
1477
1.90 IPS |
|
|
Style Transfer (Q)
|
96% |
1227
1.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
448
16.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3622
133.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
419
15.5 IPS |
|
|
Text Classification (SP)
|
100% |
267
356.8 IPS |
|
|
Text Classification (HP)
|
100% |
298
397.5 IPS |
|
|
Text Classification (Q)
|
93% |
287
384.6 IPS |
|
|
Machine Translation (SP)
|
100% |
352
6.07 IPS |
|
|
Machine Translation (HP)
|
100% |
274
4.72 IPS |
|
|
Machine Translation (Q)
|
98% |
271
4.68 IPS |
