MacBook Pro (14-inch, 2021)
Geekbench ML Score
7518
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 15 2024 07:04 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 2.44 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% |
3514
657.6 IPS |
|
|
Image Classification (F16)
|
100% |
6018
1.13 KIPS |
|
|
Image Classification (I8)
|
99% |
6300
1.18 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1197
20.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
3336
55.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
3293
55.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
30865
37.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
61782
74.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
63056
76.4 IPS |
|
|
Object Detection (F32)
|
100% |
2678
199.9 IPS |
|
|
Object Detection (F16)
|
100% |
3522
262.9 IPS |
|
|
Object Detection (I8)
|
97% |
2452
183.1 IPS |
|
|
Face Detection (F32)
|
100% |
11089
131.8 IPS |
|
|
Face Detection (F16)
|
97% |
9945
118.3 IPS |
|
|
Face Detection (I8)
|
96% |
8800
104.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
19243
149.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
34847
270.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
34608
268.4 IPS |
|
|
Style Transfer (F32)
|
100% |
50705
66.7 IPS |
|
|
Style Transfer (F16)
|
100% |
108963
143.3 IPS |
|
|
Style Transfer (I8)
|
100% |
114454
150.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7705
275.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16381
585.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16330
583.2 IPS |
|
|
Text Classification (F32)
|
100% |
572
822.7 IPS |
|
|
Text Classification (F16)
|
100% |
1954
2.81 KIPS |
|
|
Text Classification (I8)
|
96% |
1942
2.79 KIPS |
|
|
Machine Translation (F32)
|
100% |
544
10.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2193
40.4 IPS |
|
|
Machine Translation (I8)
|
99% |
519
9.56 IPS |
