Mac15,12
Geekbench AI Score
4161
Single Precision Score
7047
Half Precision Score
5699
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | rabaksh |
| Upload Date | April 12 2025 12:58 PM |
| Views | 10 |
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 | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1590
295.6 IPS |
|
|
Image Classification (HP)
|
100% |
2971
552.5 IPS |
|
|
Image Classification (Q)
|
96% |
2092
390.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1942
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3026
49.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3355
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8633
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17371
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15027
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1841
146.0 IPS |
|
|
Object Detection (HP)
|
97% |
3267
260.1 IPS |
|
|
Object Detection (Q)
|
94% |
2364
188.5 IPS |
|
|
Face Detection (SP)
|
100% |
3517
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
6728
79.9 IPS |
|
|
Face Detection (Q)
|
100% |
3966
47.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7186
55.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
13582
105.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9385
73.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22463
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34043
43.8 IPS |
|
|
Style Transfer (Q)
|
96% |
28422
36.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5308
196.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6126
226.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4430
163.6 IPS |
|
|
Text Classification (SP)
|
100% |
2984
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5289
7.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5277
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3533
60.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5879
101.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5866
101.4 IPS |
