MacBook Pro (14-inch, 2021)
Geekbench ML Score
1661
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 14 2024 02:30 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 13.6.9 (Build 22G830) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,4 |
| Motherboard | MacBookPro18,4 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
806
150.7 IPS |
|
|
Image Classification (F16)
|
100% |
662
123.9 IPS |
|
|
Image Classification (I8)
|
99% |
729
136.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
526
8.79 IPS |
|
|
Image Segmentation (F16)
|
100% |
456
7.61 IPS |
|
|
Image Segmentation (I8)
|
100% |
458
7.65 IPS |
|
|
Pose Estimation (F32)
|
100% |
7746
9.38 IPS |
|
|
Pose Estimation (F16)
|
100% |
10675
12.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
12167
14.7 IPS |
|
|
Object Detection (F32)
|
100% |
819
61.1 IPS |
|
|
Object Detection (F16)
|
100% |
801
59.8 IPS |
|
|
Object Detection (I8)
|
97% |
938
70.0 IPS |
|
|
Face Detection (F32)
|
100% |
1735
20.6 IPS |
|
|
Face Detection (F16)
|
100% |
1373
16.3 IPS |
|
|
Face Detection (I8)
|
99% |
1340
15.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
2429
18.8 IPS |
|
|
Depth Estimation (F16)
|
99% |
2627
20.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
3151
24.4 IPS |
|
|
Style Transfer (F32)
|
100% |
9985
13.1 IPS |
|
|
Style Transfer (F16)
|
100% |
10113
13.3 IPS |
|
|
Style Transfer (I8)
|
100% |
10160
13.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1915
68.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1668
59.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1688
60.3 IPS |
|
|
Text Classification (F32)
|
100% |
671
964.7 IPS |
|
|
Text Classification (F16)
|
100% |
353
508.0 IPS |
|
|
Text Classification (I8)
|
96% |
567
814.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1479
27.2 IPS |
|
|
Machine Translation (F16)
|
99% |
1650
30.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1344
24.7 IPS |
