MacBook Pro (14-inch, 2021)
Geekbench ML Score
7714
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 08 2024 05:47 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% |
3532
660.8 IPS |
|
|
Image Classification (F16)
|
100% |
7420
1.39 KIPS |
|
|
Image Classification (I8)
|
99% |
7033
1.32 KIPS |
|
|
Image Segmentation (F32)
|
100% |
819
13.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
4249
71.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
4324
72.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
28627
34.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
65657
79.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
65620
79.5 IPS |
|
|
Object Detection (F32)
|
100% |
3029
226.1 IPS |
|
|
Object Detection (F16)
|
100% |
4913
366.8 IPS |
|
|
Object Detection (I8)
|
97% |
3016
225.2 IPS |
|
|
Face Detection (F32)
|
100% |
11946
142.0 IPS |
|
|
Face Detection (F16)
|
97% |
10725
127.5 IPS |
|
|
Face Detection (I8)
|
96% |
11016
131.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
16791
130.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
29628
229.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
28544
221.4 IPS |
|
|
Style Transfer (F32)
|
100% |
48043
63.2 IPS |
|
|
Style Transfer (F16)
|
100% |
86688
114.0 IPS |
|
|
Style Transfer (I8)
|
100% |
85714
112.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8043
287.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
13232
472.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
13331
476.1 IPS |
|
|
Text Classification (F32)
|
100% |
890
1.28 KIPS |
|
|
Text Classification (F16)
|
100% |
1066
1.53 KIPS |
|
|
Text Classification (I8)
|
96% |
997
1.43 KIPS |
|
|
Machine Translation (F32)
|
100% |
1223
22.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2117
39.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1091
20.1 IPS |
