MacBook Pro (14-inch, 2021)
Geekbench ML Score
2983
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | mpoloton |
| Upload Date | July 26 2024 09:58 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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 | 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1267
237.1 IPS |
|
|
Image Classification (F16)
|
100% |
1590
297.6 IPS |
|
|
Image Classification (I8)
|
99% |
1591
297.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
798
13.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
787
13.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
785
13.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
5441
6.59 IPS |
|
|
Pose Estimation (F16)
|
100% |
12390
15.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
12403
15.0 IPS |
|
|
Object Detection (F32)
|
100% |
1277
95.3 IPS |
|
|
Object Detection (F16)
|
100% |
1706
127.3 IPS |
|
|
Object Detection (I8)
|
97% |
1281
95.6 IPS |
|
|
Face Detection (F32)
|
100% |
2592
30.8 IPS |
|
|
Face Detection (F16)
|
97% |
3882
46.2 IPS |
|
|
Face Detection (I8)
|
97% |
3878
46.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5024
39.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
7877
61.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
7894
61.2 IPS |
|
|
Style Transfer (F32)
|
100% |
14463
19.0 IPS |
|
|
Style Transfer (F16)
|
100% |
23153
30.5 IPS |
|
|
Style Transfer (I8)
|
100% |
23164
30.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3455
123.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4205
150.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4168
148.9 IPS |
|
|
Text Classification (F32)
|
100% |
2061
2.96 KIPS |
|
|
Text Classification (F16)
|
100% |
3327
4.78 KIPS |
|
|
Text Classification (I8)
|
96% |
3291
4.73 KIPS |
|
|
Machine Translation (F32)
|
100% |
649
11.9 IPS |
|
|
Machine Translation (F16)
|
100% |
865
15.9 IPS |
|
|
Machine Translation (I8)
|
99% |
654
12.0 IPS |
