MacBook Pro (14-inch, 2021)
Geekbench ML Score
8134
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 21 2024 02:02 AM |
| Views | 4 |
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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3917
732.9 IPS |
|
|
Image Classification (F16)
|
100% |
6789
1.27 KIPS |
|
|
Image Classification (I8)
|
99% |
7110
1.33 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1545
25.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1449
24.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1468
24.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
43435
52.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
62194
75.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
62939
76.2 IPS |
|
|
Object Detection (F32)
|
100% |
3232
241.3 IPS |
|
|
Object Detection (F16)
|
100% |
4500
335.9 IPS |
|
|
Object Detection (I8)
|
97% |
2902
216.7 IPS |
|
|
Face Detection (F32)
|
100% |
14669
174.4 IPS |
|
|
Face Detection (F16)
|
97% |
10813
128.6 IPS |
|
|
Face Detection (I8)
|
96% |
10816
128.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
22566
175.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
31151
241.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
35912
278.5 IPS |
|
|
Style Transfer (F32)
|
100% |
75795
99.7 IPS |
|
|
Style Transfer (F16)
|
100% |
111799
147.1 IPS |
|
|
Style Transfer (I8)
|
100% |
113765
149.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11619
414.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17725
633.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17505
625.2 IPS |
|
|
Text Classification (F32)
|
100% |
1061
1.52 KIPS |
|
|
Text Classification (F16)
|
100% |
1942
2.79 KIPS |
|
|
Text Classification (I8)
|
96% |
1869
2.69 KIPS |
|
|
Machine Translation (F32)
|
100% |
807
14.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1435
26.4 IPS |
|
|
Machine Translation (I8)
|
99% |
681
12.5 IPS |
