MacBook Pro (14-inch, 2021)
Geekbench ML Score
7701
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 08 2024 05:44 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 13.5.1 (Build 22G90) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 6 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% |
3512
657.3 IPS |
|
|
Image Classification (F16)
|
100% |
7359
1.38 KIPS |
|
|
Image Classification (I8)
|
99% |
7247
1.36 KIPS |
|
|
Image Segmentation (F32)
|
100% |
836
14.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
4305
71.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
4053
67.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
28426
34.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
65933
79.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
66845
80.9 IPS |
|
|
Object Detection (F32)
|
100% |
3077
229.7 IPS |
|
|
Object Detection (F16)
|
100% |
4825
360.2 IPS |
|
|
Object Detection (I8)
|
97% |
3075
229.5 IPS |
|
|
Face Detection (F32)
|
100% |
12501
148.6 IPS |
|
|
Face Detection (F16)
|
97% |
11016
131.0 IPS |
|
|
Face Detection (I8)
|
96% |
11001
130.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
16750
129.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
28605
221.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
29539
229.1 IPS |
|
|
Style Transfer (F32)
|
100% |
47977
63.1 IPS |
|
|
Style Transfer (F16)
|
100% |
85999
113.1 IPS |
|
|
Style Transfer (I8)
|
100% |
85092
111.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7119
254.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
12537
447.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
12868
459.6 IPS |
|
|
Text Classification (F32)
|
100% |
892
1.28 KIPS |
|
|
Text Classification (F16)
|
100% |
1034
1.49 KIPS |
|
|
Text Classification (I8)
|
96% |
982
1.41 KIPS |
|
|
Machine Translation (F32)
|
100% |
1226
22.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2125
39.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1242
22.9 IPS |
