Mac15,12
Geekbench AI Score
4132
Single Precision Score
7071
Half Precision Score
5722
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | wdinielli |
| Upload Date | May 13 2025 09:58 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E247) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1607
298.9 IPS |
|
|
Image Classification (HP)
|
100% |
2972
552.7 IPS |
|
|
Image Classification (Q)
|
96% |
2086
389.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1914
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2966
48.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3273
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8907
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17528
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15098
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1821
144.5 IPS |
|
|
Object Detection (HP)
|
97% |
3243
258.2 IPS |
|
|
Object Detection (Q)
|
94% |
2353
187.5 IPS |
|
|
Face Detection (SP)
|
100% |
3520
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
6655
79.1 IPS |
|
|
Face Detection (Q)
|
100% |
3918
46.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7147
55.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12907
99.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9093
71.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22452
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34338
44.1 IPS |
|
|
Style Transfer (Q)
|
96% |
28467
36.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5274
194.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6118
225.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4469
165.0 IPS |
|
|
Text Classification (SP)
|
100% |
3019
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
5435
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5377
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3239
55.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6361
109.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6372
110.1 IPS |
