Mac15,12
Geekbench ML Score
5503
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 15 2024 06:56 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4107
768.5 IPS |
|
|
Image Classification (F16)
|
100% |
4288
802.4 IPS |
|
|
Image Classification (I8)
|
99% |
3837
718.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1610
26.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1615
27.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1661
27.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
23638
28.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
25598
31.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
24791
30.0 IPS |
|
|
Object Detection (F32)
|
100% |
3141
234.5 IPS |
|
|
Object Detection (F16)
|
100% |
3556
265.5 IPS |
|
|
Object Detection (I8)
|
97% |
3064
228.8 IPS |
|
|
Face Detection (F32)
|
100% |
9942
118.2 IPS |
|
|
Face Detection (F16)
|
98% |
13144
156.3 IPS |
|
|
Face Detection (I8)
|
97% |
12473
148.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
15357
119.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
19237
149.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
18284
141.8 IPS |
|
|
Style Transfer (F32)
|
100% |
48378
63.6 IPS |
|
|
Style Transfer (F16)
|
100% |
52697
69.3 IPS |
|
|
Style Transfer (I8)
|
100% |
52321
68.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6593
235.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7394
264.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7797
278.4 IPS |
|
|
Text Classification (F32)
|
100% |
1098
1.58 KIPS |
|
|
Text Classification (F16)
|
100% |
748
1.08 KIPS |
|
|
Text Classification (I8)
|
96% |
771
1.11 KIPS |
|
|
Machine Translation (F32)
|
100% |
732
13.5 IPS |
|
|
Machine Translation (F16)
|
100% |
802
14.8 IPS |
|
|
Machine Translation (I8)
|
99% |
668
12.3 IPS |
