Mac15,12
Geekbench AI Score
4134
Single Precision Score
6999
Half Precision Score
5669
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | rabaksh |
| Upload Date | April 12 2025 02:44 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 4.04 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1577
293.2 IPS |
|
|
Image Classification (HP)
|
100% |
2950
548.7 IPS |
|
|
Image Classification (Q)
|
96% |
2068
386.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1905
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2987
48.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3311
53.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8717
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17310
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14998
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1823
144.6 IPS |
|
|
Object Detection (HP)
|
97% |
3204
255.1 IPS |
|
|
Object Detection (Q)
|
94% |
2343
186.7 IPS |
|
|
Face Detection (SP)
|
100% |
3484
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
6682
79.4 IPS |
|
|
Face Detection (Q)
|
100% |
3940
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7190
55.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
13492
104.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9353
73.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22424
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33853
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28191
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5237
193.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6122
226.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4445
164.1 IPS |
|
|
Text Classification (SP)
|
100% |
2985
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5285
7.05 KIPS |
|
|
Text Classification (Q)
|
93% |
5313
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3478
59.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5852
101.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5809
100.4 IPS |
