Mac15,12
Geekbench AI Score
3723
Single Precision Score
6737
Half Precision Score
5382
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | September 21 2025 05:17 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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 | 3.72 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1475
274.3 IPS |
|
|
Image Classification (HP)
|
100% |
2888
537.0 IPS |
|
|
Image Classification (Q)
|
96% |
1997
373.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1703
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2704
43.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3045
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7624
8.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
16126
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13733
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1612
127.9 IPS |
|
|
Object Detection (HP)
|
97% |
3035
241.6 IPS |
|
|
Object Detection (Q)
|
94% |
2182
174.0 IPS |
|
|
Face Detection (SP)
|
100% |
3096
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
6296
74.8 IPS |
|
|
Face Detection (Q)
|
100% |
3605
42.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6216
47.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11884
91.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8341
65.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19919
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
30848
39.7 IPS |
|
|
Style Transfer (Q)
|
96% |
25814
33.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4560
168.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5786
213.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4239
156.5 IPS |
|
|
Text Classification (SP)
|
100% |
3237
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5680
7.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5640
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2930
50.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6649
114.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6037
104.3 IPS |
