Mac15,12
Geekbench AI Score
8430
Single Precision Score
10128
Half Precision Score
9054
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | iantm |
| Upload Date | August 15 2025 04:37 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5338b) |
| 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 | 4.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4242
788.8 IPS |
|
|
Image Classification (HP)
|
100% |
4661
866.8 IPS |
|
|
Image Classification (Q)
|
96% |
4171
778.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
6489
105.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7029
113.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6730
109.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
23832
27.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26650
31.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
26040
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
4367
346.4 IPS |
|
|
Object Detection (HP)
|
100% |
4790
380.0 IPS |
|
|
Object Detection (Q)
|
92% |
4457
355.8 IPS |
|
|
Face Detection (SP)
|
100% |
11799
140.2 IPS |
|
|
Face Detection (HP)
|
100% |
15486
184.0 IPS |
|
|
Face Detection (Q)
|
100% |
12365
146.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
18521
142.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
20184
155.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
18507
144.6 IPS |
|
|
Style Transfer (SP)
|
100% |
50142
64.5 IPS |
|
|
Style Transfer (HP)
|
100% |
60194
77.4 IPS |
|
|
Style Transfer (Q)
|
96% |
58226
75.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10477
386.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10714
395.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9282
342.8 IPS |
|
|
Text Classification (SP)
|
100% |
3129
4.18 KIPS |
|
|
Text Classification (HP)
|
99% |
5359
7.15 KIPS |
|
|
Text Classification (Q)
|
93% |
5310
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1762
30.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2514
43.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1732
29.9 IPS |
