Mac15,12
Geekbench AI Score
4146
Single Precision Score
7097
Half Precision Score
5749
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | rabaksh |
| Upload Date | October 04 2025 04:26 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
1603
298.2 IPS |
|
|
Image Classification (HP)
|
100% |
2985
555.1 IPS |
|
|
Image Classification (Q)
|
96% |
2095
391.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1921
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2990
48.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3318
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8916
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17533
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15082
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1831
145.2 IPS |
|
|
Object Detection (HP)
|
97% |
3257
259.3 IPS |
|
|
Object Detection (Q)
|
94% |
2376
189.3 IPS |
|
|
Face Detection (SP)
|
100% |
3537
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
6690
79.5 IPS |
|
|
Face Detection (Q)
|
100% |
3930
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7199
55.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12977
100.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9161
71.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22452
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34556
44.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28714
37.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5289
195.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6050
223.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4451
164.3 IPS |
|
|
Text Classification (SP)
|
100% |
3018
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
5438
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5352
7.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3279
56.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6445
111.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6440
111.3 IPS |
