MacBook Pro (14-inch, 2021)
Geekbench AI Score
3747
Single Precision Score
16360
Half Precision Score
16017
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Tezz |
| Upload Date | February 15 2025 04:38 AM |
| Views | 14 |
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, 10 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1333
247.9 IPS |
|
|
Image Classification (HP)
|
100% |
6775
1.26 KIPS |
|
|
Image Classification (Q)
|
96% |
6583
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1612
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9691
157.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10301
167.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11187
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
70143
81.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
65774
77.1 IPS |
|
|
Object Detection (SP)
|
100% |
1568
124.4 IPS |
|
|
Object Detection (HP)
|
99% |
8011
637.2 IPS |
|
|
Object Detection (Q)
|
91% |
7524
601.2 IPS |
|
|
Face Detection (SP)
|
100% |
3300
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
15853
188.4 IPS |
|
|
Face Detection (Q)
|
100% |
12592
149.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5895
45.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
51138
394.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
53507
418.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22356
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
120161
154.5 IPS |
|
|
Style Transfer (Q)
|
96% |
116190
149.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4323
159.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26113
964.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27885
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2307
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3907
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3908
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3338
57.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3748
64.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3883
67.1 IPS |
