Mac16,11
Geekbench AI Score
5736
Single Precision Score
37177
Half Precision Score
49023
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | johnl123456787654 |
| Upload Date | November 13 2024 10:32 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,11 |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2089
388.5 IPS |
|
|
Image Classification (HP)
|
100% |
18069
3.36 KIPS |
|
|
Image Classification (Q)
|
97% |
22667
4.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2480
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23196
376.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
32718
530.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18912
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123246
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
231429
271.2 IPS |
|
|
Object Detection (SP)
|
100% |
2465
195.5 IPS |
|
|
Object Detection (HP)
|
100% |
19874
1.58 KIPS |
|
|
Object Detection (Q)
|
91% |
23883
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
4482
53.3 IPS |
|
|
Face Detection (HP)
|
100% |
44862
533.1 IPS |
|
|
Face Detection (Q)
|
100% |
54511
647.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8707
67.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
107008
824.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
177299
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
35286
45.4 IPS |
|
|
Style Transfer (HP)
|
100% |
237664
305.5 IPS |
|
|
Style Transfer (Q)
|
96% |
303911
392.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7013
259.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47506
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80655
2.98 KIPS |
|
|
Text Classification (SP)
|
100% |
2912
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5498
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5071
6.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
5685
97.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16487
284.0 IPS |
|
|
Machine Translation (Q)
|
98% |
16281
281.4 IPS |
