MacBook Pro (14-inch, 2021)
Geekbench AI Score
3708
Single Precision Score
16242
Half Precision Score
16211
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | astazyx |
| Upload Date | February 06 2025 11:48 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
1306
242.9 IPS |
|
|
Image Classification (HP)
|
100% |
6715
1.25 KIPS |
|
|
Image Classification (Q)
|
96% |
6586
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1527
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9700
157.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10278
166.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11124
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
69791
81.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
65777
77.1 IPS |
|
|
Object Detection (SP)
|
100% |
1562
123.9 IPS |
|
|
Object Detection (HP)
|
99% |
7897
628.2 IPS |
|
|
Object Detection (Q)
|
91% |
7407
591.8 IPS |
|
|
Face Detection (SP)
|
100% |
3291
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
15534
184.6 IPS |
|
|
Face Detection (Q)
|
100% |
14595
173.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5896
45.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
51022
393.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
53587
418.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22302
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
119934
154.2 IPS |
|
|
Style Transfer (Q)
|
96% |
115999
149.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4340
160.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25891
956.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27926
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2274
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3886
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3861
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3323
57.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3723
64.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3887
67.2 IPS |
