MacBook Pro (14-inch, 2021)
Geekbench ML Score
2468
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | netdevil |
| Upload Date | August 19 2024 10:42 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 2.44 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1060
198.4 IPS |
|
|
Image Classification (F16)
|
100% |
1309
244.9 IPS |
|
|
Image Classification (I8)
|
99% |
1310
245.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
631
10.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
607
10.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
607
10.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
4530
5.49 IPS |
|
|
Pose Estimation (F16)
|
100% |
10681
12.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
10697
13.0 IPS |
|
|
Object Detection (F32)
|
100% |
1058
79.0 IPS |
|
|
Object Detection (F16)
|
100% |
1417
105.8 IPS |
|
|
Object Detection (I8)
|
97% |
1048
78.3 IPS |
|
|
Face Detection (F32)
|
100% |
2190
26.0 IPS |
|
|
Face Detection (F16)
|
97% |
3131
37.2 IPS |
|
|
Face Detection (I8)
|
97% |
3214
38.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
4216
32.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
6499
50.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
6537
50.7 IPS |
|
|
Style Transfer (F32)
|
100% |
12174
16.0 IPS |
|
|
Style Transfer (F16)
|
100% |
19271
25.3 IPS |
|
|
Style Transfer (I8)
|
100% |
19182
25.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2952
105.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3633
129.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3574
127.6 IPS |
|
|
Text Classification (F32)
|
100% |
1755
2.52 KIPS |
|
|
Text Classification (F16)
|
100% |
2683
3.86 KIPS |
|
|
Text Classification (I8)
|
96% |
2679
3.85 KIPS |
|
|
Machine Translation (F32)
|
100% |
544
10.0 IPS |
|
|
Machine Translation (F16)
|
100% |
685
12.6 IPS |
|
|
Machine Translation (I8)
|
99% |
538
9.91 IPS |
