Mac15,12
Geekbench AI Score
6378
Single Precision Score
6503
Half Precision Score
2278
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 17 2025 12:57 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 14.6 (Build 23G80) |
| 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% |
3752
697.8 IPS |
|
|
Image Classification (HP)
|
100% |
3980
740.2 IPS |
|
|
Image Classification (Q)
|
97% |
2980
556.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4051
65.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5170
83.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
5158
83.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
20211
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
21642
25.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
20130
23.6 IPS |
|
|
Object Detection (SP)
|
100% |
3942
312.7 IPS |
|
|
Object Detection (HP)
|
100% |
4216
334.4 IPS |
|
|
Object Detection (Q)
|
92% |
3344
266.9 IPS |
|
|
Face Detection (SP)
|
100% |
10463
124.3 IPS |
|
|
Face Detection (HP)
|
100% |
12451
147.9 IPS |
|
|
Face Detection (Q)
|
100% |
8838
105.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16789
129.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
18662
143.8 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
115.5 IPS |
|
|
Style Transfer (SP)
|
100% |
44377
57.0 IPS |
|
|
Style Transfer (HP)
|
100% |
49721
63.9 IPS |
|
|
Style Transfer (Q)
|
96% |
46712
60.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8840
326.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9699
358.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7635
281.9 IPS |
|
|
Text Classification (SP)
|
100% |
1218
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
683
911.1 IPS |
|
|
Text Classification (Q)
|
93% |
960
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1097
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
942
16.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1204
20.8 IPS |
