MacBook Pro (16-inch, 2021)
Geekbench ML Score
8850
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 10 2025 04:23 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4315
807.5 IPS |
|
|
Image Classification (F16)
|
100% |
6845
1.28 KIPS |
|
|
Image Classification (I8)
|
99% |
7253
1.36 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1514
25.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1823
30.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1939
32.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
52241
63.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
64768
78.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
65691
79.5 IPS |
|
|
Object Detection (F32)
|
100% |
3396
253.5 IPS |
|
|
Object Detection (F16)
|
100% |
4275
319.2 IPS |
|
|
Object Detection (I8)
|
97% |
3108
232.0 IPS |
|
|
Face Detection (F32)
|
100% |
13974
166.2 IPS |
|
|
Face Detection (F16)
|
97% |
10233
121.7 IPS |
|
|
Face Detection (I8)
|
96% |
10273
122.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
23481
182.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
30872
239.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
33616
260.7 IPS |
|
|
Style Transfer (F32)
|
100% |
76588
100.7 IPS |
|
|
Style Transfer (F16)
|
100% |
111302
146.4 IPS |
|
|
Style Transfer (I8)
|
100% |
115095
151.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9505
339.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18886
674.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
22254
794.8 IPS |
|
|
Text Classification (F32)
|
100% |
1959
2.82 KIPS |
|
|
Text Classification (F16)
|
100% |
3456
4.97 KIPS |
|
|
Text Classification (I8)
|
96% |
3464
4.98 KIPS |
|
|
Machine Translation (F32)
|
100% |
778
14.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1138
20.9 IPS |
|
|
Machine Translation (I8)
|
99% |
765
14.1 IPS |
