MacBook Pro (16-inch, 2021)
Geekbench ML Score
8207
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 17 2024 04:20 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 3.22 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% |
4655
871.2 IPS |
|
|
Image Classification (F16)
|
100% |
6827
1.28 KIPS |
|
|
Image Classification (I8)
|
99% |
7328
1.37 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1551
25.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1502
25.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1504
25.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
48534
58.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
63619
77.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
63596
77.0 IPS |
|
|
Object Detection (F32)
|
100% |
3513
262.3 IPS |
|
|
Object Detection (F16)
|
100% |
3907
291.7 IPS |
|
|
Object Detection (I8)
|
97% |
3318
247.7 IPS |
|
|
Face Detection (F32)
|
100% |
17637
209.7 IPS |
|
|
Face Detection (F16)
|
97% |
10889
129.5 IPS |
|
|
Face Detection (I8)
|
96% |
10870
129.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
25075
194.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
35148
272.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
34928
270.9 IPS |
|
|
Style Transfer (F32)
|
100% |
76457
100.6 IPS |
|
|
Style Transfer (F16)
|
100% |
109658
144.2 IPS |
|
|
Style Transfer (I8)
|
100% |
115589
152.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
12814
457.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17294
617.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16631
593.9 IPS |
|
|
Text Classification (F32)
|
100% |
994
1.43 KIPS |
|
|
Text Classification (F16)
|
100% |
1974
2.84 KIPS |
|
|
Text Classification (I8)
|
96% |
1966
2.83 KIPS |
|
|
Machine Translation (F32)
|
100% |
623
11.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1119
20.6 IPS |
|
|
Machine Translation (I8)
|
99% |
592
10.9 IPS |
