MacBook Pro (14-inch, 2021)
Geekbench ML Score
7642
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 15 2024 05:56 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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% |
3371
630.9 IPS |
|
|
Image Classification (F16)
|
100% |
7039
1.32 KIPS |
|
|
Image Classification (I8)
|
99% |
7287
1.36 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1194
19.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
3204
53.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
3410
57.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
28653
34.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
62585
75.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
63597
77.0 IPS |
|
|
Object Detection (F32)
|
100% |
2762
206.2 IPS |
|
|
Object Detection (F16)
|
100% |
4355
325.1 IPS |
|
|
Object Detection (I8)
|
97% |
2494
186.2 IPS |
|
|
Face Detection (F32)
|
100% |
10604
126.1 IPS |
|
|
Face Detection (F16)
|
97% |
10798
128.4 IPS |
|
|
Face Detection (I8)
|
96% |
9514
113.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
16935
131.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
34987
271.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
34712
269.2 IPS |
|
|
Style Transfer (F32)
|
100% |
47312
62.2 IPS |
|
|
Style Transfer (F16)
|
100% |
111311
146.4 IPS |
|
|
Style Transfer (I8)
|
100% |
117084
154.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8090
288.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15919
568.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16742
597.9 IPS |
|
|
Text Classification (F32)
|
100% |
464
667.1 IPS |
|
|
Text Classification (F16)
|
100% |
1974
2.84 KIPS |
|
|
Text Classification (I8)
|
96% |
1964
2.82 KIPS |
|
|
Machine Translation (F32)
|
100% |
583
10.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2343
43.1 IPS |
|
|
Machine Translation (I8)
|
99% |
557
10.3 IPS |
