Mac15,12
Geekbench AI Score
8803
Single Precision Score
9965
Half Precision Score
9147
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | September 01 2025 05:07 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4335
806.1 IPS |
|
|
Image Classification (HP)
|
100% |
4698
873.7 IPS |
|
|
Image Classification (Q)
|
96% |
4363
814.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6474
104.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6986
113.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
6740
109.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
25171
29.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
26248
30.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
25984
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
4368
346.5 IPS |
|
|
Object Detection (HP)
|
100% |
4941
392.0 IPS |
|
|
Object Detection (Q)
|
92% |
4473
357.0 IPS |
|
|
Face Detection (SP)
|
100% |
11885
141.2 IPS |
|
|
Face Detection (HP)
|
100% |
15281
181.6 IPS |
|
|
Face Detection (Q)
|
100% |
12286
146.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
19049
146.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
20226
155.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
18688
146.0 IPS |
|
|
Style Transfer (SP)
|
100% |
51497
66.2 IPS |
|
|
Style Transfer (HP)
|
100% |
59774
76.8 IPS |
|
|
Style Transfer (Q)
|
96% |
58072
74.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11056
408.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10877
401.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9597
354.4 IPS |
|
|
Text Classification (SP)
|
100% |
3003
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5452
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5424
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2340
40.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2071
35.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1729
29.9 IPS |
