MacBook Pro (14-inch, 2021)
Geekbench AI Score
9484
Single Precision Score
10479
Half Precision Score
9283
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | dennis_dydx |
| Upload Date | March 08 2026 03:59 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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% |
4050
753.1 IPS |
|
|
Image Classification (HP)
|
100% |
4047
752.6 IPS |
|
|
Image Classification (Q)
|
94% |
3855
720.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7399
120.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7509
121.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7150
115.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
32932
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
35950
41.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
34672
40.6 IPS |
|
|
Object Detection (SP)
|
100% |
3952
313.4 IPS |
|
|
Object Detection (HP)
|
100% |
4078
323.4 IPS |
|
|
Object Detection (Q)
|
91% |
3875
309.7 IPS |
|
|
Face Detection (SP)
|
100% |
14504
172.3 IPS |
|
|
Face Detection (HP)
|
100% |
15244
181.1 IPS |
|
|
Face Detection (Q)
|
100% |
13989
166.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
19943
153.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
18875
145.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
17636
137.9 IPS |
|
|
Style Transfer (SP)
|
100% |
54024
69.4 IPS |
|
|
Style Transfer (HP)
|
100% |
64644
83.1 IPS |
|
|
Style Transfer (Q)
|
96% |
63271
81.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10750
397.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11538
426.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10144
374.6 IPS |
|
|
Text Classification (SP)
|
100% |
2363
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
4125
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4095
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3805
65.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4049
69.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1980
34.2 IPS |
