MacBook Pro (14-inch, 2021)
Geekbench AI Score
8029
Single Precision Score
8953
Half Precision Score
8331
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Crimble |
| Upload Date | July 01 2025 10:05 AM |
| Views | 4 |
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% |
3755
698.3 IPS |
|
|
Image Classification (HP)
|
100% |
3844
714.8 IPS |
|
|
Image Classification (Q)
|
96% |
3533
659.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6711
108.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6753
109.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6476
105.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
29765
34.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
32235
37.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
31153
36.5 IPS |
|
|
Object Detection (SP)
|
100% |
3671
291.2 IPS |
|
|
Object Detection (HP)
|
100% |
3831
303.9 IPS |
|
|
Object Detection (Q)
|
92% |
3570
285.0 IPS |
|
|
Face Detection (SP)
|
100% |
12918
153.5 IPS |
|
|
Face Detection (HP)
|
100% |
13517
160.6 IPS |
|
|
Face Detection (Q)
|
100% |
11684
138.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
17352
133.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
16558
127.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
15209
118.8 IPS |
|
|
Style Transfer (SP)
|
100% |
50087
64.4 IPS |
|
|
Style Transfer (HP)
|
100% |
59602
76.6 IPS |
|
|
Style Transfer (Q)
|
96% |
58345
75.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10344
382.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11102
410.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9653
356.4 IPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4031
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
3999
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1520
26.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1730
29.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1582
27.3 IPS |
