MacBook Pro (14-inch, 2021)
Geekbench AI Score
8097
Single Precision Score
8879
Half Precision Score
8241
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | crylessengine |
| Upload Date | September 26 2025 09:58 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5042k) |
| 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% |
3690
686.2 IPS |
|
|
Image Classification (HP)
|
100% |
3825
711.3 IPS |
|
|
Image Classification (Q)
|
96% |
3529
658.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
6809
110.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6876
111.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6544
106.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
29875
34.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32154
37.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
31110
36.4 IPS |
|
|
Object Detection (SP)
|
100% |
3693
292.9 IPS |
|
|
Object Detection (HP)
|
100% |
3874
307.3 IPS |
|
|
Object Detection (Q)
|
92% |
3606
287.8 IPS |
|
|
Face Detection (SP)
|
100% |
13201
156.9 IPS |
|
|
Face Detection (HP)
|
100% |
13636
162.0 IPS |
|
|
Face Detection (Q)
|
100% |
11817
140.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17496
134.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
16658
128.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
15323
119.7 IPS |
|
|
Style Transfer (SP)
|
100% |
50275
64.6 IPS |
|
|
Style Transfer (HP)
|
100% |
59632
76.7 IPS |
|
|
Style Transfer (Q)
|
96% |
58308
75.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10435
385.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11052
408.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9461
349.4 IPS |
|
|
Text Classification (SP)
|
100% |
2280
3.04 KIPS |
|
|
Text Classification (HP)
|
99% |
4097
5.47 KIPS |
|
|
Text Classification (Q)
|
93% |
3979
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1583
27.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1517
26.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1404
24.3 IPS |
