Mac15,12
Geekbench ML Score
10586
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | Jasonious |
| Upload Date | October 08 2024 07:55 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5070a) |
| 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 | 4.04 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3412
638.4 IPS |
|
|
Image Classification (F16)
|
100% |
12277
2.30 KIPS |
|
|
Image Classification (I8)
|
99% |
14366
2.69 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1397
23.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
2278
38.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
2247
37.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
17657
21.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
107754
130.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
109641
132.8 IPS |
|
|
Object Detection (F32)
|
100% |
3022
225.6 IPS |
|
|
Object Detection (F16)
|
100% |
6944
518.4 IPS |
|
|
Object Detection (I8)
|
97% |
2878
214.8 IPS |
|
|
Face Detection (F32)
|
100% |
9147
108.8 IPS |
|
|
Face Detection (F16)
|
97% |
21093
250.8 IPS |
|
|
Face Detection (I8)
|
96% |
20901
248.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
15431
119.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
56818
440.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
59377
460.5 IPS |
|
|
Style Transfer (F32)
|
100% |
38804
51.0 IPS |
|
|
Style Transfer (F16)
|
100% |
157861
207.7 IPS |
|
|
Style Transfer (I8)
|
100% |
156156
205.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7940
283.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
37482
1.34 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
36442
1.30 KIPS |
|
|
Text Classification (F32)
|
100% |
2583
3.71 KIPS |
|
|
Text Classification (F16)
|
100% |
4670
6.71 KIPS |
|
|
Text Classification (I8)
|
96% |
4580
6.58 KIPS |
|
|
Machine Translation (F32)
|
100% |
809
14.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1568
28.9 IPS |
|
|
Machine Translation (I8)
|
99% |
668
12.3 IPS |
