MacBook Pro (16-inch, 2021)
Geekbench ML Score
4001
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 17 2024 02:32 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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 | 3.20 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1306
244.5 IPS |
|
|
Image Classification (F16)
|
100% |
1948
364.4 IPS |
|
|
Image Classification (I8)
|
99% |
1985
371.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
893
14.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1082
18.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1078
18.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
10658
12.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
20289
24.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
20268
24.5 IPS |
|
|
Object Detection (F32)
|
100% |
1447
108.1 IPS |
|
|
Object Detection (F16)
|
100% |
2032
151.7 IPS |
|
|
Object Detection (I8)
|
97% |
1440
107.5 IPS |
|
|
Face Detection (F32)
|
100% |
3252
38.7 IPS |
|
|
Face Detection (F16)
|
97% |
4937
58.7 IPS |
|
|
Face Detection (I8)
|
97% |
5077
60.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5714
44.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
10183
79.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
10577
82.0 IPS |
|
|
Style Transfer (F32)
|
100% |
21701
28.5 IPS |
|
|
Style Transfer (F16)
|
100% |
32092
42.2 IPS |
|
|
Style Transfer (I8)
|
100% |
34331
45.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4483
160.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6427
229.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6287
224.5 IPS |
|
|
Text Classification (F32)
|
100% |
2102
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3497
5.03 KIPS |
|
|
Text Classification (I8)
|
96% |
3534
5.08 KIPS |
|
|
Machine Translation (F32)
|
100% |
1227
22.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1409
25.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1226
22.6 IPS |
