MacBook Pro (14-inch, 2021)
Geekbench ML Score
7911
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 15 2024 06:38 PM |
| Views | 3 |
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 | 3.22 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3587
671.2 IPS |
|
|
Image Classification (F16)
|
100% |
6621
1.24 KIPS |
|
|
Image Classification (I8)
|
99% |
7079
1.32 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1336
22.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
3521
58.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
3290
54.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
31712
38.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
60652
73.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
63227
76.6 IPS |
|
|
Object Detection (F32)
|
100% |
2845
212.4 IPS |
|
|
Object Detection (F16)
|
100% |
4519
337.4 IPS |
|
|
Object Detection (I8)
|
97% |
2695
201.2 IPS |
|
|
Face Detection (F32)
|
100% |
11627
138.3 IPS |
|
|
Face Detection (F16)
|
97% |
9841
117.0 IPS |
|
|
Face Detection (I8)
|
96% |
9885
117.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
19268
149.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
32219
249.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
36010
279.3 IPS |
|
|
Style Transfer (F32)
|
100% |
46486
61.1 IPS |
|
|
Style Transfer (F16)
|
100% |
108178
142.3 IPS |
|
|
Style Transfer (I8)
|
100% |
117882
155.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7742
276.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16655
594.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17053
609.0 IPS |
|
|
Text Classification (F32)
|
100% |
561
806.0 IPS |
|
|
Text Classification (F16)
|
100% |
1843
2.65 KIPS |
|
|
Text Classification (I8)
|
96% |
1880
2.70 KIPS |
|
|
Machine Translation (F32)
|
100% |
790
14.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2342
43.1 IPS |
|
|
Machine Translation (I8)
|
99% |
682
12.5 IPS |
