Mac15,13
Geekbench ML Score
5572
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 17 2024 04:46 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| Model | Mac15,13 |
| Model ID | Mac15,13 |
| Motherboard | Mac15,13 |
| 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% |
4131
773.1 IPS |
|
|
Image Classification (F16)
|
100% |
4357
815.3 IPS |
|
|
Image Classification (I8)
|
99% |
3866
723.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1799
30.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1906
31.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1900
31.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
23727
28.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
25614
31.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
25017
30.3 IPS |
|
|
Object Detection (F32)
|
100% |
3280
244.9 IPS |
|
|
Object Detection (F16)
|
100% |
3623
270.5 IPS |
|
|
Object Detection (I8)
|
97% |
2933
218.9 IPS |
|
|
Face Detection (F32)
|
100% |
10659
126.7 IPS |
|
|
Face Detection (F16)
|
98% |
13624
162.0 IPS |
|
|
Face Detection (I8)
|
97% |
13104
155.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
15908
123.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
20435
158.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
18580
144.1 IPS |
|
|
Style Transfer (F32)
|
100% |
50559
66.5 IPS |
|
|
Style Transfer (F16)
|
100% |
57233
75.3 IPS |
|
|
Style Transfer (I8)
|
100% |
58335
76.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9979
356.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7364
263.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7180
256.4 IPS |
|
|
Text Classification (F32)
|
100% |
544
781.8 IPS |
|
|
Text Classification (F16)
|
100% |
699
1.01 KIPS |
|
|
Text Classification (I8)
|
96% |
700
1.01 KIPS |
|
|
Machine Translation (F32)
|
100% |
757
13.9 IPS |
|
|
Machine Translation (F16)
|
100% |
721
13.3 IPS |
|
|
Machine Translation (I8)
|
99% |
672
12.4 IPS |
