MacBook Pro (16-inch, 2021)
Geekbench ML Score
6081
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 07:50 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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 | 3.16 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% |
3963
741.6 IPS |
|
|
Image Classification (F16)
|
100% |
4226
790.7 IPS |
|
|
Image Classification (I8)
|
99% |
3521
658.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1265
21.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1330
22.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1296
21.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
51274
62.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
54615
66.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
52519
63.6 IPS |
|
|
Object Detection (F32)
|
100% |
3134
233.9 IPS |
|
|
Object Detection (F16)
|
100% |
3308
247.0 IPS |
|
|
Object Detection (I8)
|
97% |
2945
219.9 IPS |
|
|
Face Detection (F32)
|
100% |
14216
169.0 IPS |
|
|
Face Detection (F16)
|
98% |
14434
171.6 IPS |
|
|
Face Detection (I8)
|
97% |
14003
166.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
23411
181.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
24800
192.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
22843
177.1 IPS |
|
|
Style Transfer (F32)
|
100% |
71906
94.6 IPS |
|
|
Style Transfer (F16)
|
100% |
90686
119.3 IPS |
|
|
Style Transfer (I8)
|
100% |
84393
111.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8775
313.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
11569
413.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9227
329.5 IPS |
|
|
Text Classification (F32)
|
100% |
496
712.6 IPS |
|
|
Text Classification (F16)
|
100% |
422
605.9 IPS |
|
|
Text Classification (I8)
|
96% |
411
590.3 IPS |
|
|
Machine Translation (F32)
|
100% |
717
13.2 IPS |
|
|
Machine Translation (F16)
|
100% |
720
13.2 IPS |
|
|
Machine Translation (I8)
|
99% |
657
12.1 IPS |
