Mac15,12
Geekbench AI Score
4148
Single Precision Score
7000
Half Precision Score
5646
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 05 2025 01:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| Model | Mac15,12 |
| Model ID | Mac15,12 |
| Motherboard | Mac15,12 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1578
293.4 IPS |
|
|
Image Classification (HP)
|
100% |
2936
545.9 IPS |
|
|
Image Classification (Q)
|
96% |
2072
386.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1941
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3006
48.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3308
53.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8911
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17323
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15047
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1841
146.0 IPS |
|
|
Object Detection (HP)
|
97% |
3280
261.1 IPS |
|
|
Object Detection (Q)
|
94% |
2366
188.6 IPS |
|
|
Face Detection (SP)
|
100% |
3539
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
6866
81.6 IPS |
|
|
Face Detection (Q)
|
100% |
3996
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7212
55.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13575
104.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9395
73.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22390
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34094
43.8 IPS |
|
|
Style Transfer (Q)
|
96% |
28399
36.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5286
195.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6062
223.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4429
163.5 IPS |
|
|
Text Classification (SP)
|
100% |
2811
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
4979
6.65 KIPS |
|
|
Text Classification (Q)
|
93% |
4913
6.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3539
61.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5874
101.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5822
100.6 IPS |
