MacBook Pro (16-inch, 2021)
Geekbench ML Score
8708
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 22 2025 08:30 PM |
| Views | 10 |
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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4528
847.4 IPS |
|
|
Image Classification (F16)
|
100% |
4662
872.4 IPS |
|
|
Image Classification (I8)
|
99% |
4674
874.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1582
26.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1625
27.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1614
27.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
53015
64.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
57865
70.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
57844
70.0 IPS |
|
|
Object Detection (F32)
|
100% |
3567
266.3 IPS |
|
|
Object Detection (F16)
|
100% |
3676
274.4 IPS |
|
|
Object Detection (I8)
|
97% |
3495
261.0 IPS |
|
|
Face Detection (F32)
|
100% |
17551
208.7 IPS |
|
|
Face Detection (F16)
|
98% |
18218
216.6 IPS |
|
|
Face Detection (I8)
|
97% |
18225
216.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
25309
196.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
27147
210.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
27128
210.4 IPS |
|
|
Style Transfer (F32)
|
100% |
81663
107.4 IPS |
|
|
Style Transfer (F16)
|
100% |
92217
121.3 IPS |
|
|
Style Transfer (I8)
|
100% |
112950
148.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11194
399.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
12375
441.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
11128
397.4 IPS |
|
|
Text Classification (F32)
|
100% |
2187
3.14 KIPS |
|
|
Text Classification (F16)
|
100% |
3794
5.45 KIPS |
|
|
Text Classification (I8)
|
96% |
3774
5.42 KIPS |
|
|
Machine Translation (F32)
|
100% |
1021
18.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1028
18.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1014
18.7 IPS |
