MacBook Pro (14-inch, 2021)
Geekbench AI Score
8648
Single Precision Score
9648
Half Precision Score
8860
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | EAG |
| Upload Date | November 12 2025 06:24 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4074
757.6 IPS |
|
|
Image Classification (HP)
|
100% |
4067
756.3 IPS |
|
|
Image Classification (Q)
|
96% |
3861
721.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7327
118.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7522
121.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7181
116.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
32873
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
35996
42.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
34668
40.6 IPS |
|
|
Object Detection (SP)
|
100% |
3970
314.9 IPS |
|
|
Object Detection (HP)
|
100% |
4044
320.8 IPS |
|
|
Object Detection (Q)
|
92% |
3801
303.4 IPS |
|
|
Face Detection (SP)
|
100% |
14009
166.5 IPS |
|
|
Face Detection (HP)
|
100% |
14764
175.4 IPS |
|
|
Face Detection (Q)
|
100% |
12904
153.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
19985
154.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
19070
146.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
17360
135.6 IPS |
|
|
Style Transfer (SP)
|
100% |
53750
69.1 IPS |
|
|
Style Transfer (HP)
|
100% |
64836
83.3 IPS |
|
|
Style Transfer (Q)
|
96% |
63330
81.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10846
400.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11590
428.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9977
368.4 IPS |
|
|
Text Classification (SP)
|
100% |
2363
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
4123
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4096
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1559
26.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1800
31.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1408
24.3 IPS |
