MacBook Pro (16-inch, 2021)
Geekbench ML Score
2959
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 20 2024 07:37 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.7.1 (Build 23H222) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,2 |
| Motherboard | MacBookPro18,2 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.21 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% |
1241
232.2 IPS |
|
|
Image Classification (F16)
|
100% |
1572
294.1 IPS |
|
|
Image Classification (I8)
|
99% |
1570
293.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
783
13.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
776
13.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
776
13.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
5245
6.35 IPS |
|
|
Pose Estimation (F16)
|
100% |
12404
15.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
12449
15.1 IPS |
|
|
Object Detection (F32)
|
100% |
1251
93.4 IPS |
|
|
Object Detection (F16)
|
100% |
1688
126.0 IPS |
|
|
Object Detection (I8)
|
97% |
1255
93.7 IPS |
|
|
Face Detection (F32)
|
100% |
2577
30.6 IPS |
|
|
Face Detection (F16)
|
97% |
3918
46.6 IPS |
|
|
Face Detection (I8)
|
97% |
3750
44.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
4954
38.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
7806
60.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
7805
60.5 IPS |
|
|
Style Transfer (F32)
|
100% |
14246
18.7 IPS |
|
|
Style Transfer (F16)
|
100% |
22424
29.5 IPS |
|
|
Style Transfer (I8)
|
100% |
22968
30.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3362
120.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4365
155.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4275
152.7 IPS |
|
|
Text Classification (F32)
|
100% |
2046
2.94 KIPS |
|
|
Text Classification (F16)
|
100% |
3282
4.72 KIPS |
|
|
Text Classification (I8)
|
96% |
3278
4.71 KIPS |
|
|
Machine Translation (F32)
|
100% |
666
12.3 IPS |
|
|
Machine Translation (F16)
|
100% |
867
15.9 IPS |
|
|
Machine Translation (I8)
|
99% |
664
12.2 IPS |
