Mac15,12
Geekbench ML Score
8177
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 23 2024 02:28 AM |
| Views | 3 |
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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3742
700.2 IPS |
|
|
Image Classification (F16)
|
100% |
7338
1.37 KIPS |
|
|
Image Classification (I8)
|
99% |
7832
1.47 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1744
29.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2136
35.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
2072
34.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
19274
23.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
96271
116.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
97344
117.9 IPS |
|
|
Object Detection (F32)
|
100% |
2684
200.4 IPS |
|
|
Object Detection (F16)
|
100% |
5534
413.2 IPS |
|
|
Object Detection (I8)
|
97% |
2823
210.7 IPS |
|
|
Face Detection (F32)
|
100% |
10079
119.8 IPS |
|
|
Face Detection (F16)
|
97% |
12846
152.7 IPS |
|
|
Face Detection (I8)
|
96% |
12806
152.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
16570
128.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
49432
383.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
52094
404.0 IPS |
|
|
Style Transfer (F32)
|
100% |
42902
56.4 IPS |
|
|
Style Transfer (F16)
|
100% |
148707
195.6 IPS |
|
|
Style Transfer (I8)
|
100% |
147656
194.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5732
204.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
19600
700.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
19954
712.6 IPS |
|
|
Text Classification (F32)
|
100% |
1329
1.91 KIPS |
|
|
Text Classification (F16)
|
100% |
724
1.04 KIPS |
|
|
Text Classification (I8)
|
96% |
923
1.33 KIPS |
|
|
Machine Translation (F32)
|
100% |
646
11.9 IPS |
|
|
Machine Translation (F16)
|
100% |
3244
59.7 IPS |
|
|
Machine Translation (I8)
|
99% |
685
12.6 IPS |
