MacBook Pro (14-inch, 2021)
Geekbench AI Score
8376
Single Precision Score
8954
Half Precision Score
8208
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | matt4824 |
| Upload Date | August 18 2025 10:16 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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% |
3761
699.4 IPS |
|
|
Image Classification (HP)
|
100% |
3851
716.2 IPS |
|
|
Image Classification (Q)
|
96% |
3570
666.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6727
109.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6775
109.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6463
104.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
29805
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
32232
37.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
31183
36.5 IPS |
|
|
Object Detection (SP)
|
100% |
3667
290.9 IPS |
|
|
Object Detection (HP)
|
100% |
3944
312.9 IPS |
|
|
Object Detection (Q)
|
92% |
3615
288.6 IPS |
|
|
Face Detection (SP)
|
100% |
12928
153.6 IPS |
|
|
Face Detection (HP)
|
100% |
13469
160.0 IPS |
|
|
Face Detection (Q)
|
100% |
11723
139.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17343
133.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
16607
127.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
15276
119.3 IPS |
|
|
Style Transfer (SP)
|
100% |
50136
64.5 IPS |
|
|
Style Transfer (HP)
|
100% |
59739
76.8 IPS |
|
|
Style Transfer (Q)
|
96% |
58457
75.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10488
387.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11179
412.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9565
353.2 IPS |
|
|
Text Classification (SP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4014
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
3951
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2268
39.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1667
28.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1349
23.3 IPS |
