iPhone XS Max
Geekbench AI Score
643
Single Precision Score
731
Half Precision Score
289
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 11:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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
41.2 IPS |
|
|
Image Classification (HP)
|
100% |
264
49.0 IPS |
|
|
Image Classification (Q)
|
96% |
140
26.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
221
3.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
253
4.09 IPS |
|
|
Image Segmentation (Q)
|
99% |
180
2.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
1626
1.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
2204
2.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
686
0.80 IPS |
|
|
Object Detection (SP)
|
100% |
542
43.0 IPS |
|
|
Object Detection (HP)
|
100% |
583
46.3 IPS |
|
|
Object Detection (Q)
|
92% |
160
12.8 IPS |
|
|
Face Detection (SP)
|
100% |
1912
22.7 IPS |
|
|
Face Detection (HP)
|
100% |
2226
26.5 IPS |
|
|
Face Detection (Q)
|
100% |
254
3.01 IPS |
|
|
Depth Estimation (SP)
|
100% |
1697
13.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2160
16.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
427
3.33 IPS |
|
|
Style Transfer (SP)
|
100% |
4116
5.29 IPS |
|
|
Style Transfer (HP)
|
100% |
3571
4.59 IPS |
|
|
Style Transfer (Q)
|
96% |
1508
1.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
780
28.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
897
33.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
281
10.4 IPS |
|
|
Text Classification (SP)
|
100% |
152
203.2 IPS |
|
|
Text Classification (HP)
|
100% |
204
272.1 IPS |
|
|
Text Classification (Q)
|
93% |
203
272.9 IPS |
|
|
Machine Translation (SP)
|
100% |
179
3.08 IPS |
|
|
Machine Translation (HP)
|
100% |
163
2.80 IPS |
|
|
Machine Translation (Q)
|
98% |
163
2.82 IPS |
