MacBook Pro (14-inch, 2021)
Geekbench ML Score
7648
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | netdevil |
| Upload Date | January 05 2025 01:38 AM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3471
649.5 IPS |
|
|
Image Classification (F16)
|
100% |
5974
1.12 KIPS |
|
|
Image Classification (I8)
|
99% |
6321
1.18 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1191
19.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1462
24.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1437
24.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
30511
36.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
61766
74.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
61582
74.6 IPS |
|
|
Object Detection (F32)
|
100% |
2648
197.7 IPS |
|
|
Object Detection (F16)
|
100% |
3562
265.9 IPS |
|
|
Object Detection (I8)
|
97% |
2563
191.3 IPS |
|
|
Face Detection (F32)
|
100% |
11094
131.9 IPS |
|
|
Face Detection (F16)
|
97% |
10248
121.9 IPS |
|
|
Face Detection (I8)
|
96% |
10273
122.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
18177
141.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
39239
304.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
42507
329.6 IPS |
|
|
Style Transfer (F32)
|
100% |
50330
66.2 IPS |
|
|
Style Transfer (F16)
|
100% |
105485
138.8 IPS |
|
|
Style Transfer (I8)
|
100% |
112651
148.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7677
274.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
19430
693.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
21279
760.0 IPS |
|
|
Text Classification (F32)
|
100% |
1807
2.60 KIPS |
|
|
Text Classification (F16)
|
100% |
3010
4.33 KIPS |
|
|
Text Classification (I8)
|
96% |
3039
4.37 KIPS |
|
|
Machine Translation (F32)
|
100% |
650
12.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1035
19.0 IPS |
|
|
Machine Translation (I8)
|
99% |
467
8.60 IPS |
