Mac15,12
Geekbench AI Score
4155
Single Precision Score
7008
Half Precision Score
5669
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | kindleisbest |
| Upload Date | February 18 2025 08:11 PM |
| Views | 6 |
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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1578
293.5 IPS |
|
|
Image Classification (HP)
|
100% |
2959
550.3 IPS |
|
|
Image Classification (Q)
|
96% |
2068
386.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1939
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3002
48.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3344
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8934
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17340
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15021
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1840
146.0 IPS |
|
|
Object Detection (HP)
|
97% |
3251
258.8 IPS |
|
|
Object Detection (Q)
|
94% |
2352
187.5 IPS |
|
|
Face Detection (SP)
|
100% |
3531
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
6655
79.1 IPS |
|
|
Face Detection (Q)
|
100% |
3907
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7187
55.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
13555
104.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9367
73.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22326
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34085
43.8 IPS |
|
|
Style Transfer (Q)
|
96% |
28267
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5211
192.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6120
226.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4448
164.3 IPS |
|
|
Text Classification (SP)
|
100% |
2930
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5209
6.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5215
7.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3530
60.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5823
100.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5855
101.2 IPS |
