MacBook Pro (14-inch, 2021)
Geekbench ML Score
7715
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 31 2024 10:02 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5057p) |
| 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3215
601.6 IPS |
|
|
Image Classification (F16)
|
100% |
6600
1.24 KIPS |
|
|
Image Classification (I8)
|
99% |
6885
1.29 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1251
20.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1381
23.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1271
21.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
26259
31.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
61932
75.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
62669
75.9 IPS |
|
|
Object Detection (F32)
|
100% |
2660
198.6 IPS |
|
|
Object Detection (F16)
|
100% |
4231
315.9 IPS |
|
|
Object Detection (I8)
|
97% |
2764
206.3 IPS |
|
|
Face Detection (F32)
|
100% |
10523
125.1 IPS |
|
|
Face Detection (F16)
|
97% |
11099
132.0 IPS |
|
|
Face Detection (I8)
|
96% |
10644
126.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
16168
125.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
29795
231.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
28519
221.2 IPS |
|
|
Style Transfer (F32)
|
100% |
43845
57.7 IPS |
|
|
Style Transfer (F16)
|
100% |
100267
131.9 IPS |
|
|
Style Transfer (I8)
|
100% |
114318
150.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7472
266.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
20230
722.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
19337
690.6 IPS |
|
|
Text Classification (F32)
|
100% |
1995
2.87 KIPS |
|
|
Text Classification (F16)
|
100% |
3278
4.71 KIPS |
|
|
Text Classification (I8)
|
96% |
3459
4.97 KIPS |
|
|
Machine Translation (F32)
|
100% |
768
14.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1209
22.3 IPS |
|
|
Machine Translation (I8)
|
99% |
781
14.4 IPS |
