MacBook Pro (16-inch, 2021)
Geekbench ML Score
4100
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 22 2025 08:28 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
1321
247.2 IPS |
|
|
Image Classification (F16)
|
100% |
2008
375.8 IPS |
|
|
Image Classification (I8)
|
99% |
2016
377.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
938
15.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1180
19.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1188
19.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
9964
12.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
22080
26.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
22001
26.6 IPS |
|
|
Object Detection (F32)
|
100% |
1403
104.7 IPS |
|
|
Object Detection (F16)
|
100% |
2063
154.0 IPS |
|
|
Object Detection (I8)
|
97% |
1406
105.0 IPS |
|
|
Face Detection (F32)
|
100% |
3320
39.5 IPS |
|
|
Face Detection (F16)
|
97% |
5316
63.2 IPS |
|
|
Face Detection (I8)
|
96% |
5331
63.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5665
43.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
10514
81.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
10473
81.2 IPS |
|
|
Style Transfer (F32)
|
100% |
21582
28.4 IPS |
|
|
Style Transfer (F16)
|
100% |
34166
44.9 IPS |
|
|
Style Transfer (I8)
|
100% |
34203
45.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4299
153.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5808
207.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6066
216.6 IPS |
|
|
Text Classification (F32)
|
100% |
2172
3.12 KIPS |
|
|
Text Classification (F16)
|
100% |
3843
5.52 KIPS |
|
|
Text Classification (I8)
|
96% |
3869
5.56 KIPS |
|
|
Machine Translation (F32)
|
100% |
1259
23.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1522
28.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1259
23.2 IPS |
