MacBook Pro (14-inch, 2021)
Geekbench ML Score
4059
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 19 2024 02:30 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1319
246.8 IPS |
|
|
Image Classification (F16)
|
100% |
1996
373.6 IPS |
|
|
Image Classification (I8)
|
99% |
1993
372.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
918
15.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1178
19.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1172
19.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
10764
13.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
20189
24.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
19780
24.0 IPS |
|
|
Object Detection (F32)
|
100% |
1458
108.8 IPS |
|
|
Object Detection (F16)
|
100% |
2042
152.5 IPS |
|
|
Object Detection (I8)
|
97% |
1464
109.3 IPS |
|
|
Face Detection (F32)
|
100% |
3281
39.0 IPS |
|
|
Face Detection (F16)
|
97% |
5192
61.7 IPS |
|
|
Face Detection (I8)
|
97% |
5151
61.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5826
45.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
10775
83.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
10835
84.0 IPS |
|
|
Style Transfer (F32)
|
100% |
21832
28.7 IPS |
|
|
Style Transfer (F16)
|
100% |
32261
42.4 IPS |
|
|
Style Transfer (I8)
|
100% |
33888
44.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4463
159.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6335
226.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6355
227.0 IPS |
|
|
Text Classification (F32)
|
100% |
2072
2.98 KIPS |
|
|
Text Classification (F16)
|
100% |
3470
4.99 KIPS |
|
|
Text Classification (I8)
|
96% |
3502
5.03 KIPS |
|
|
Machine Translation (F32)
|
100% |
1256
23.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1430
26.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1248
23.0 IPS |
