Mac15,12
Geekbench AI Score
3969
Single Precision Score
30521
Half Precision Score
34730
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 22 2025 08:57 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
1520
282.7 IPS |
|
|
Image Classification (HP)
|
100% |
16947
3.15 KIPS |
|
|
Image Classification (Q)
|
97% |
20607
3.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1802
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19649
318.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24273
393.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8445
9.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
121049
141.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
120330
141.0 IPS |
|
|
Object Detection (SP)
|
100% |
1759
139.5 IPS |
|
|
Object Detection (HP)
|
100% |
18653
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
20766
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
3329
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
37417
444.6 IPS |
|
|
Face Detection (Q)
|
100% |
51947
617.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6911
53.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
97882
754.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
124508
973.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21982
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
227672
292.7 IPS |
|
|
Style Transfer (Q)
|
96% |
220415
284.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5091
188.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47300
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58248
2.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3031
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
5411
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5376
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3058
52.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4372
75.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4576
79.1 IPS |
