MacBook Pro (14-inch, 2021)
Geekbench AI Score
8406
Single Precision Score
9175
Half Precision Score
8362
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | verd1ct |
| Upload Date | July 17 2025 06:56 PM |
| Views | 6 |
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% |
3794
705.6 IPS |
|
|
Image Classification (HP)
|
100% |
3912
727.6 IPS |
|
|
Image Classification (Q)
|
96% |
3663
684.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6762
109.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6816
110.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6483
105.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
29806
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
32282
37.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
31203
36.5 IPS |
|
|
Object Detection (SP)
|
100% |
3700
293.5 IPS |
|
|
Object Detection (HP)
|
100% |
3838
304.4 IPS |
|
|
Object Detection (Q)
|
92% |
3581
285.8 IPS |
|
|
Face Detection (SP)
|
100% |
13066
155.3 IPS |
|
|
Face Detection (HP)
|
100% |
13554
161.0 IPS |
|
|
Face Detection (Q)
|
100% |
11677
138.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
17471
134.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
16654
128.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
15309
119.6 IPS |
|
|
Style Transfer (SP)
|
100% |
50212
64.5 IPS |
|
|
Style Transfer (HP)
|
100% |
59835
76.9 IPS |
|
|
Style Transfer (Q)
|
96% |
58088
75.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10614
391.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11952
441.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9710
358.5 IPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4054
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4019
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2232
38.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1956
33.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1555
26.9 IPS |
