iPhone XS Max
Geekbench AI Score
300
Single Precision Score
552
Half Precision Score
485
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 04:45 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
148
27.5 IPS |
|
|
Image Classification (HP)
|
100% |
306
56.9 IPS |
|
|
Image Classification (Q)
|
96% |
172
32.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
162
2.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
290
4.70 IPS |
|
|
Image Segmentation (Q)
|
99% |
362
5.89 IPS |
|
|
Pose Estimation (SP)
|
100% |
469
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
485
0.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
542
0.64 IPS |
|
|
Object Detection (SP)
|
100% |
160
12.7 IPS |
|
|
Object Detection (HP)
|
99% |
341
27.0 IPS |
|
|
Object Detection (Q)
|
92% |
282
22.5 IPS |
|
|
Face Detection (SP)
|
100% |
295
3.51 IPS |
|
|
Face Detection (HP)
|
100% |
604
7.18 IPS |
|
|
Face Detection (Q)
|
100% |
320
3.80 IPS |
|
|
Depth Estimation (SP)
|
100% |
300
2.31 IPS |
|
|
Depth Estimation (HP)
|
98% |
722
5.58 IPS |
|
|
Depth Estimation (Q)
|
85% |
598
4.68 IPS |
|
|
Style Transfer (SP)
|
100% |
1025
1.32 IPS |
|
|
Style Transfer (HP)
|
100% |
1926
2.48 IPS |
|
|
Style Transfer (Q)
|
96% |
2053
2.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
393
14.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
566
20.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
506
18.7 IPS |
|
|
Text Classification (SP)
|
100% |
234
312.1 IPS |
|
|
Text Classification (HP)
|
100% |
514
685.7 IPS |
|
|
Text Classification (Q)
|
93% |
517
693.7 IPS |
|
|
Machine Translation (SP)
|
100% |
397
6.84 IPS |
|
|
Machine Translation (HP)
|
98% |
737
12.7 IPS |
|
|
Machine Translation (Q)
|
98% |
738
12.7 IPS |
