MacBook Pro (14-inch, 2021)
Geekbench AI Score
8010
Single Precision Score
8767
Half Precision Score
8184
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | CatCat |
| Upload Date | September 06 2025 07:32 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5351b) |
| 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% |
3698
687.8 IPS |
|
|
Image Classification (HP)
|
100% |
3832
712.7 IPS |
|
|
Image Classification (Q)
|
96% |
3453
644.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
6758
109.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6803
110.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6533
105.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
29808
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
32211
37.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
31164
36.5 IPS |
|
|
Object Detection (SP)
|
100% |
3630
288.0 IPS |
|
|
Object Detection (HP)
|
100% |
3777
299.6 IPS |
|
|
Object Detection (Q)
|
92% |
3551
283.4 IPS |
|
|
Face Detection (SP)
|
100% |
13038
154.9 IPS |
|
|
Face Detection (HP)
|
100% |
13473
160.1 IPS |
|
|
Face Detection (Q)
|
100% |
11720
139.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17270
133.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
16518
127.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
15198
118.7 IPS |
|
|
Style Transfer (SP)
|
100% |
49929
64.2 IPS |
|
|
Style Transfer (HP)
|
100% |
59505
76.5 IPS |
|
|
Style Transfer (Q)
|
96% |
58038
74.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10296
380.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10848
400.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9514
351.3 IPS |
|
|
Text Classification (SP)
|
100% |
2278
3.04 KIPS |
|
|
Text Classification (HP)
|
99% |
3859
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3832
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1525
26.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1527
26.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1434
24.8 IPS |
