MacBook Pro (16-inch, 2021)
Geekbench ML Score
2994
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 25 2024 01:14 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 3.22 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% |
1596
298.7 IPS |
|
|
Image Classification (I8)
|
99% |
1603
299.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
808
13.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
796
13.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
793
13.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
5341
6.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
12655
15.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
12644
15.3 IPS |
|
|
Object Detection (F32)
|
100% |
1275
95.2 IPS |
|
|
Object Detection (F16)
|
100% |
1715
128.0 IPS |
|
|
Object Detection (I8)
|
97% |
1251
93.4 IPS |
|
|
Face Detection (F32)
|
100% |
2654
31.6 IPS |
|
|
Face Detection (F16)
|
97% |
3868
46.0 IPS |
|
|
Face Detection (I8)
|
97% |
3856
45.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5083
39.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
7934
61.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
7945
61.6 IPS |
|
|
Style Transfer (F32)
|
100% |
14555
19.1 IPS |
|
|
Style Transfer (F16)
|
100% |
23177
30.5 IPS |
|
|
Style Transfer (I8)
|
100% |
23145
30.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3460
123.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4183
149.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4163
148.7 IPS |
|
|
Text Classification (F32)
|
100% |
2058
2.96 KIPS |
|
|
Text Classification (F16)
|
100% |
3293
4.73 KIPS |
|
|
Text Classification (I8)
|
96% |
3277
4.71 KIPS |
|
|
Machine Translation (F32)
|
100% |
664
12.2 IPS |
|
|
Machine Translation (F16)
|
100% |
868
16.0 IPS |
|
|
Machine Translation (I8)
|
99% |
663
12.2 IPS |
