MacBook Pro (16-inch, 2021)
Geekbench ML Score
7079
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 09 2024 03:47 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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 | 3.13 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% |
2098
392.6 IPS |
|
|
Image Classification (F16)
|
100% |
4456
833.9 IPS |
|
|
Image Classification (I8)
|
99% |
3763
704.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1443
24.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1428
23.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1342
22.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
52133
63.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
52547
63.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
45442
55.0 IPS |
|
|
Object Detection (F32)
|
100% |
3086
230.4 IPS |
|
|
Object Detection (F16)
|
100% |
3474
259.4 IPS |
|
|
Object Detection (I8)
|
97% |
3221
240.5 IPS |
|
|
Face Detection (F32)
|
100% |
15492
184.2 IPS |
|
|
Face Detection (F16)
|
98% |
14944
177.7 IPS |
|
|
Face Detection (I8)
|
97% |
15706
186.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
18401
142.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
25615
198.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
16444
127.5 IPS |
|
|
Style Transfer (F32)
|
100% |
65071
85.6 IPS |
|
|
Style Transfer (F16)
|
100% |
89497
117.7 IPS |
|
|
Style Transfer (I8)
|
100% |
76685
100.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8467
302.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7485
267.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
11127
397.4 IPS |
|
|
Text Classification (F32)
|
100% |
2080
2.99 KIPS |
|
|
Text Classification (F16)
|
100% |
3611
5.19 KIPS |
|
|
Text Classification (I8)
|
96% |
3465
4.98 KIPS |
|
|
Machine Translation (F32)
|
100% |
755
13.9 IPS |
|
|
Machine Translation (F16)
|
100% |
783
14.4 IPS |
|
|
Machine Translation (I8)
|
99% |
555
10.2 IPS |
