Mac15,12
Geekbench ML Score
6223
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | Jasonious |
| Upload Date | February 06 2025 07:59 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3618
677.1 IPS |
|
|
Image Classification (F16)
|
100% |
3853
721.1 IPS |
|
|
Image Classification (I8)
|
99% |
3843
719.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1429
23.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1534
25.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1588
26.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
19085
23.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
20334
24.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
20115
24.4 IPS |
|
|
Object Detection (F32)
|
100% |
3111
232.2 IPS |
|
|
Object Detection (F16)
|
100% |
3315
247.5 IPS |
|
|
Object Detection (I8)
|
97% |
3050
227.7 IPS |
|
|
Face Detection (F32)
|
100% |
9675
115.0 IPS |
|
|
Face Detection (F16)
|
98% |
11367
135.2 IPS |
|
|
Face Detection (I8)
|
97% |
11416
135.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
16317
126.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
18105
140.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
15870
123.1 IPS |
|
|
Style Transfer (F32)
|
100% |
42291
55.6 IPS |
|
|
Style Transfer (F16)
|
100% |
46435
61.1 IPS |
|
|
Style Transfer (I8)
|
100% |
47831
62.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6996
249.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8888
317.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8838
315.6 IPS |
|
|
Text Classification (F32)
|
100% |
2652
3.81 KIPS |
|
|
Text Classification (F16)
|
100% |
4789
6.88 KIPS |
|
|
Text Classification (I8)
|
96% |
4757
6.84 KIPS |
|
|
Machine Translation (F32)
|
100% |
913
16.8 IPS |
|
|
Machine Translation (F16)
|
100% |
943
17.3 IPS |
|
|
Machine Translation (I8)
|
99% |
915
16.8 IPS |
