MacBook Pro (16-inch, 2021)
Geekbench ML Score
9166
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 22 2025 08:31 PM |
| Views | 8 |
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 | 3.22 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4627
865.9 IPS |
|
|
Image Classification (F16)
|
100% |
6163
1.15 KIPS |
|
|
Image Classification (I8)
|
99% |
6541
1.22 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1637
27.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1863
31.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1876
31.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
53128
64.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
62034
75.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
62652
75.9 IPS |
|
|
Object Detection (F32)
|
100% |
3506
261.7 IPS |
|
|
Object Detection (F16)
|
100% |
3739
279.2 IPS |
|
|
Object Detection (I8)
|
97% |
3547
264.8 IPS |
|
|
Face Detection (F32)
|
100% |
17365
206.5 IPS |
|
|
Face Detection (F16)
|
97% |
9916
117.9 IPS |
|
|
Face Detection (I8)
|
96% |
9870
117.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
25342
196.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
31086
241.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
30556
237.0 IPS |
|
|
Style Transfer (F32)
|
100% |
89519
117.8 IPS |
|
|
Style Transfer (F16)
|
100% |
108854
143.2 IPS |
|
|
Style Transfer (I8)
|
100% |
116656
153.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10706
382.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
19666
702.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
19862
709.3 IPS |
|
|
Text Classification (F32)
|
100% |
2176
3.13 KIPS |
|
|
Text Classification (F16)
|
100% |
3833
5.51 KIPS |
|
|
Text Classification (I8)
|
96% |
3835
5.51 KIPS |
|
|
Machine Translation (F32)
|
100% |
1013
18.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1109
20.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1025
18.9 IPS |
