MacBook Pro (14-inch, 2021)
Geekbench ML Score
8489
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 19 2024 02:27 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,4 |
| Motherboard | MacBookPro18,4 |
| 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% |
4219
789.4 IPS |
|
|
Image Classification (F16)
|
100% |
6410
1.20 KIPS |
|
|
Image Classification (I8)
|
99% |
7122
1.33 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1419
23.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1469
24.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1664
27.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
48858
59.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
61078
74.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
65193
78.9 IPS |
|
|
Object Detection (F32)
|
100% |
3466
258.8 IPS |
|
|
Object Detection (F16)
|
100% |
4209
314.2 IPS |
|
|
Object Detection (I8)
|
97% |
1704
127.2 IPS |
|
|
Face Detection (F32)
|
100% |
15919
189.3 IPS |
|
|
Face Detection (F16)
|
97% |
10616
126.2 IPS |
|
|
Face Detection (I8)
|
96% |
11217
133.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
24774
192.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
30965
240.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
34399
266.8 IPS |
|
|
Style Transfer (F32)
|
100% |
72883
95.9 IPS |
|
|
Style Transfer (F16)
|
100% |
110332
145.1 IPS |
|
|
Style Transfer (I8)
|
100% |
116516
153.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11722
418.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
19339
690.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
21795
778.4 IPS |
|
|
Text Classification (F32)
|
100% |
2074
2.98 KIPS |
|
|
Text Classification (F16)
|
100% |
3472
4.99 KIPS |
|
|
Text Classification (I8)
|
96% |
3415
4.91 KIPS |
|
|
Machine Translation (F32)
|
100% |
706
13.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1079
19.9 IPS |
|
|
Machine Translation (I8)
|
99% |
525
9.66 IPS |
