Mac15,12
Geekbench AI Score
6726
Single Precision Score
7831
Half Precision Score
6987
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 31 2024 06:49 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.98 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3844
714.9 IPS |
|
|
Image Classification (HP)
|
100% |
4071
757.1 IPS |
|
|
Image Classification (Q)
|
97% |
3516
656.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4025
65.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5216
84.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5278
85.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
20358
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
21465
25.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
20488
24.0 IPS |
|
|
Object Detection (SP)
|
100% |
3974
315.2 IPS |
|
|
Object Detection (HP)
|
100% |
4353
345.3 IPS |
|
|
Object Detection (Q)
|
91% |
3683
294.3 IPS |
|
|
Face Detection (SP)
|
100% |
10889
129.4 IPS |
|
|
Face Detection (HP)
|
100% |
12995
154.4 IPS |
|
|
Face Detection (Q)
|
100% |
9421
111.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17031
131.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
18715
144.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
16095
125.8 IPS |
|
|
Style Transfer (SP)
|
100% |
44635
57.4 IPS |
|
|
Style Transfer (HP)
|
100% |
49939
64.2 IPS |
|
|
Style Transfer (Q)
|
96% |
46969
60.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9066
334.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9830
363.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7770
286.9 IPS |
|
|
Text Classification (SP)
|
100% |
2853
3.81 KIPS |
|
|
Text Classification (HP)
|
100% |
4949
6.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4906
6.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
708
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
740
12.8 IPS |
|
|
Machine Translation (Q)
|
98% |
730
12.6 IPS |
