Mac15,12
Geekbench AI Score
8816
Single Precision Score
9697
Half Precision Score
9558
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 22 2025 09:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5053f) |
| 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% |
4226
785.9 IPS |
|
|
Image Classification (HP)
|
100% |
4534
843.2 IPS |
|
|
Image Classification (Q)
|
96% |
4210
786.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
6396
103.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6954
112.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6686
108.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
24868
29.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
26068
30.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
25768
30.2 IPS |
|
|
Object Detection (SP)
|
100% |
4273
338.9 IPS |
|
|
Object Detection (HP)
|
100% |
4860
385.5 IPS |
|
|
Object Detection (Q)
|
92% |
4399
351.2 IPS |
|
|
Face Detection (SP)
|
100% |
11802
140.2 IPS |
|
|
Face Detection (HP)
|
100% |
15193
180.5 IPS |
|
|
Face Detection (Q)
|
100% |
12190
144.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
18778
144.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
20035
154.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
18626
145.5 IPS |
|
|
Style Transfer (SP)
|
100% |
51861
66.7 IPS |
|
|
Style Transfer (HP)
|
100% |
59609
76.6 IPS |
|
|
Style Transfer (Q)
|
96% |
57845
74.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10905
402.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10674
394.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9478
350.0 IPS |
|
|
Text Classification (SP)
|
100% |
2934
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5154
6.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5115
6.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
2686
46.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1845
31.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3134
54.2 IPS |
