MacBook Pro (14-inch, 2021)
Geekbench ML Score
6733
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | mpoloton |
| Upload Date | July 26 2024 10:00 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4461
834.7 IPS |
|
|
Image Classification (F16)
|
100% |
4510
844.0 IPS |
|
|
Image Classification (I8)
|
99% |
3887
727.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1619
27.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1714
28.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1602
26.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
52292
63.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
55178
66.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
53404
64.7 IPS |
|
|
Object Detection (F32)
|
100% |
3444
257.1 IPS |
|
|
Object Detection (F16)
|
100% |
3475
259.4 IPS |
|
|
Object Detection (I8)
|
97% |
3155
235.6 IPS |
|
|
Face Detection (F32)
|
100% |
16369
194.6 IPS |
|
|
Face Detection (F16)
|
98% |
16886
200.8 IPS |
|
|
Face Detection (I8)
|
97% |
15600
185.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
25085
194.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
26070
202.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
23466
182.0 IPS |
|
|
Style Transfer (F32)
|
100% |
87758
115.4 IPS |
|
|
Style Transfer (F16)
|
100% |
92466
121.6 IPS |
|
|
Style Transfer (I8)
|
100% |
94320
124.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11341
405.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
11890
424.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10452
373.3 IPS |
|
|
Text Classification (F32)
|
100% |
389
559.6 IPS |
|
|
Text Classification (F16)
|
100% |
547
785.5 IPS |
|
|
Text Classification (I8)
|
96% |
467
670.5 IPS |
|
|
Machine Translation (F32)
|
100% |
831
15.3 IPS |
|
|
Machine Translation (F16)
|
100% |
837
15.4 IPS |
|
|
Machine Translation (I8)
|
99% |
706
13.0 IPS |
