Mac15,12
Geekbench AI Score
4136
Single Precision Score
7134
Half Precision Score
5796
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | rabaksh |
| Upload Date | October 04 2025 05:00 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% |
1607
298.9 IPS |
|
|
Image Classification (HP)
|
100% |
2980
554.2 IPS |
|
|
Image Classification (Q)
|
96% |
2094
391.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1929
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2992
48.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3324
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8890
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17545
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15085
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1835
145.6 IPS |
|
|
Object Detection (HP)
|
97% |
3256
259.2 IPS |
|
|
Object Detection (Q)
|
94% |
2383
190.0 IPS |
|
|
Face Detection (SP)
|
100% |
3467
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
6767
80.4 IPS |
|
|
Face Detection (Q)
|
100% |
3971
47.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7184
55.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
13026
100.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9175
71.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22465
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34586
44.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28729
37.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5282
195.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6056
223.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4455
164.5 IPS |
|
|
Text Classification (SP)
|
100% |
2999
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5480
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5499
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3271
56.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6632
114.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6677
115.4 IPS |
