MacBook Pro (14-inch, 2021)
Geekbench AI Score
3738
Single Precision Score
16484
Half Precision Score
16355
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | astazyx |
| Upload Date | March 08 2025 01:20 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
1342
249.5 IPS |
|
|
Image Classification (HP)
|
100% |
7056
1.31 KIPS |
|
|
Image Classification (Q)
|
96% |
6787
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1639
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9702
157.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10443
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11047
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
70947
82.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
66126
77.5 IPS |
|
|
Object Detection (SP)
|
100% |
1581
125.4 IPS |
|
|
Object Detection (HP)
|
99% |
8057
640.9 IPS |
|
|
Object Detection (Q)
|
91% |
7565
604.5 IPS |
|
|
Face Detection (SP)
|
100% |
3212
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
15728
186.9 IPS |
|
|
Face Detection (Q)
|
100% |
14859
176.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5935
45.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
52134
401.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
53439
417.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22288
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
120859
155.4 IPS |
|
|
Style Transfer (Q)
|
96% |
115854
149.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4334
160.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25979
959.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28125
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2269
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3934
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3880
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3322
57.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3738
64.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3848
66.5 IPS |
