MacBook Pro (14-inch, 2021)
Geekbench ML Score
7647
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 16 2024 02:49 AM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4 (Build 23E214) |
| 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% |
3436
643.0 IPS |
|
|
Image Classification (F16)
|
100% |
6849
1.28 KIPS |
|
|
Image Classification (I8)
|
99% |
7099
1.33 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1202
20.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
3520
58.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
3478
58.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
28875
35.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
62036
75.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
64954
78.7 IPS |
|
|
Object Detection (F32)
|
100% |
2770
206.8 IPS |
|
|
Object Detection (F16)
|
100% |
3958
295.5 IPS |
|
|
Object Detection (I8)
|
97% |
2525
188.5 IPS |
|
|
Face Detection (F32)
|
100% |
11123
132.3 IPS |
|
|
Face Detection (F16)
|
97% |
10757
127.9 IPS |
|
|
Face Detection (I8)
|
96% |
10152
120.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
16888
131.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
33577
260.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
37339
289.6 IPS |
|
|
Style Transfer (F32)
|
100% |
47185
62.1 IPS |
|
|
Style Transfer (F16)
|
100% |
109352
143.8 IPS |
|
|
Style Transfer (I8)
|
100% |
117429
154.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8311
296.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16488
588.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16610
593.2 IPS |
|
|
Text Classification (F32)
|
100% |
450
646.9 IPS |
|
|
Text Classification (F16)
|
100% |
1865
2.68 KIPS |
|
|
Text Classification (I8)
|
96% |
1878
2.70 KIPS |
|
|
Machine Translation (F32)
|
100% |
566
10.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2387
43.9 IPS |
|
|
Machine Translation (I8)
|
99% |
535
9.84 IPS |
