Mac15,12
Geekbench AI Score
4166
Single Precision Score
7023
Half Precision Score
5682
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 26 2025 10:11 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
1584
294.6 IPS |
|
|
Image Classification (HP)
|
100% |
2947
548.0 IPS |
|
|
Image Classification (Q)
|
96% |
2069
386.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1933
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3020
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3320
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8636
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17334
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15042
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1849
146.6 IPS |
|
|
Object Detection (HP)
|
97% |
3239
257.9 IPS |
|
|
Object Detection (Q)
|
94% |
2344
186.8 IPS |
|
|
Face Detection (SP)
|
100% |
3578
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
6641
78.9 IPS |
|
|
Face Detection (Q)
|
100% |
3968
47.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7203
55.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13583
105.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9388
73.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22455
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33983
43.7 IPS |
|
|
Style Transfer (Q)
|
96% |
28266
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5312
196.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6101
225.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4423
163.3 IPS |
|
|
Text Classification (SP)
|
100% |
2949
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5304
7.08 KIPS |
|
|
Text Classification (Q)
|
93% |
5270
7.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3560
61.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5896
101.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5911
102.2 IPS |
