MacBook Pro (14-inch, 2021)
Geekbench AI Score
3753
Single Precision Score
5763
Half Precision Score
4697
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 23 2024 07:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1350
251.1 IPS |
|
|
Image Classification (HP)
|
100% |
2050
381.2 IPS |
|
|
Image Classification (Q)
|
96% |
1497
279.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1586
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2266
36.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2650
43.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11175
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
22546
26.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16962
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
1583
125.6 IPS |
|
|
Object Detection (HP)
|
97% |
2348
186.9 IPS |
|
|
Object Detection (Q)
|
94% |
1736
138.4 IPS |
|
|
Face Detection (SP)
|
100% |
3275
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
5237
62.2 IPS |
|
|
Face Detection (Q)
|
100% |
3130
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6008
46.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10871
84.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7388
57.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22277
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34573
44.4 IPS |
|
|
Style Transfer (Q)
|
96% |
25899
33.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4346
160.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6127
226.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3987
147.2 IPS |
|
|
Text Classification (SP)
|
100% |
2300
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3904
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3908
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3341
57.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3493
60.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4796
82.9 IPS |
