MacBook Pro (14-inch, 2021)
Geekbench AI Score
3708
Single Precision Score
5689
Half Precision Score
4668
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Suginoko |
| Upload Date | November 03 2024 05:25 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 3.18 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1318
245.1 IPS |
|
|
Image Classification (HP)
|
100% |
2013
374.3 IPS |
|
|
Image Classification (Q)
|
96% |
1463
273.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1607
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2342
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2666
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11076
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
22230
25.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
17327
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
1541
122.2 IPS |
|
|
Object Detection (HP)
|
97% |
2288
182.2 IPS |
|
|
Object Detection (Q)
|
94% |
1684
134.2 IPS |
|
|
Face Detection (SP)
|
100% |
3239
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
5268
62.6 IPS |
|
|
Face Detection (Q)
|
100% |
3032
36.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5951
45.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10355
80.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7197
56.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22008
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
34106
43.8 IPS |
|
|
Style Transfer (Q)
|
96% |
26567
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4408
162.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6218
229.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3966
146.5 IPS |
|
|
Text Classification (SP)
|
100% |
2284
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3944
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3949
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3189
54.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3251
56.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4762
82.3 IPS |
