MacBook Pro (14-inch, 2021)
Geekbench AI Score
3635
Single Precision Score
16308
Half Precision Score
16200
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | gnu08 |
| Upload Date | November 12 2025 04:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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% |
1343
249.8 IPS |
|
|
Image Classification (HP)
|
100% |
6898
1.28 KIPS |
|
|
Image Classification (Q)
|
96% |
6577
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1513
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9685
157.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10425
169.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11044
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
70380
82.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
65851
77.2 IPS |
|
|
Object Detection (SP)
|
100% |
1549
122.8 IPS |
|
|
Object Detection (HP)
|
99% |
8002
636.6 IPS |
|
|
Object Detection (Q)
|
91% |
7420
592.9 IPS |
|
|
Face Detection (SP)
|
100% |
3162
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
15809
187.9 IPS |
|
|
Face Detection (Q)
|
100% |
13743
163.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5628
43.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
50280
387.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
53443
417.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21936
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
118120
151.8 IPS |
|
|
Style Transfer (Q)
|
96% |
117431
151.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4349
160.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26329
972.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28415
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2263
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
4022
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4004
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3021
52.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3558
61.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3787
65.4 IPS |
