MacBook Pro (14-inch, 2021)
Geekbench AI Score
8359
Single Precision Score
9170
Half Precision Score
8532
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | chestnut |
| Upload Date | May 23 2025 01:02 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3919
728.8 IPS |
|
|
Image Classification (HP)
|
100% |
3931
731.1 IPS |
|
|
Image Classification (Q)
|
96% |
3580
668.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6853
111.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6832
110.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6532
105.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
29789
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
32271
37.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
31261
36.6 IPS |
|
|
Object Detection (SP)
|
100% |
3747
297.2 IPS |
|
|
Object Detection (HP)
|
100% |
3855
305.8 IPS |
|
|
Object Detection (Q)
|
92% |
3576
285.4 IPS |
|
|
Face Detection (SP)
|
100% |
13194
156.8 IPS |
|
|
Face Detection (HP)
|
100% |
13607
161.7 IPS |
|
|
Face Detection (Q)
|
100% |
11831
140.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17588
135.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
16659
128.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
15397
120.3 IPS |
|
|
Style Transfer (SP)
|
100% |
50220
64.6 IPS |
|
|
Style Transfer (HP)
|
100% |
59877
77.0 IPS |
|
|
Style Transfer (Q)
|
96% |
58586
75.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10507
388.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11257
415.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9749
360.0 IPS |
|
|
Text Classification (SP)
|
100% |
2313
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4044
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4048
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1964
33.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2037
35.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1858
32.1 IPS |
