MacBook Pro (14-inch, 2021)
Geekbench AI Score
3658
Single Precision Score
16469
Half Precision Score
16155
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | HJD |
| Upload Date | May 18 2025 09:57 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
6865
1.28 KIPS |
|
|
Image Classification (Q)
|
96% |
6613
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1510
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9676
156.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10448
169.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11113
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
71126
83.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
67803
79.5 IPS |
|
|
Object Detection (SP)
|
100% |
1556
123.4 IPS |
|
|
Object Detection (HP)
|
99% |
7994
635.9 IPS |
|
|
Object Detection (Q)
|
91% |
7508
599.9 IPS |
|
|
Face Detection (SP)
|
100% |
3230
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
16089
191.2 IPS |
|
|
Face Detection (Q)
|
100% |
12723
151.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5739
44.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
51378
395.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
54095
422.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21946
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
121608
156.3 IPS |
|
|
Style Transfer (Q)
|
96% |
117489
151.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4303
158.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25976
959.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28200
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2272
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3974
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3917
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3080
53.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3747
64.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3855
66.6 IPS |
