MacBook Pro (14-inch, 2021)
Geekbench AI Score
7612
Single Precision Score
8730
Half Precision Score
7307
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | samusko14 |
| Upload Date | March 01 2025 09:10 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
3831
712.4 IPS |
|
|
Image Classification (HP)
|
100% |
3923
729.5 IPS |
|
|
Image Classification (Q)
|
97% |
3212
599.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
5860
95.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5913
95.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
5825
94.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
29829
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
31299
36.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
29046
34.0 IPS |
|
|
Object Detection (SP)
|
100% |
3679
291.8 IPS |
|
|
Object Detection (HP)
|
100% |
3907
309.9 IPS |
|
|
Object Detection (Q)
|
91% |
3222
257.5 IPS |
|
|
Face Detection (SP)
|
100% |
12972
154.1 IPS |
|
|
Face Detection (HP)
|
100% |
13513
160.6 IPS |
|
|
Face Detection (Q)
|
100% |
9617
114.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17300
133.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17841
137.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
15016
117.4 IPS |
|
|
Style Transfer (SP)
|
100% |
50173
64.5 IPS |
|
|
Style Transfer (HP)
|
100% |
58964
75.8 IPS |
|
|
Style Transfer (Q)
|
96% |
55091
71.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10410
384.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10824
399.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8515
314.4 IPS |
|
|
Text Classification (SP)
|
100% |
2278
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3896
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3867
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
994
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1513
26.1 IPS |
|
|
Machine Translation (Q)
|
98% |
947
16.4 IPS |
