MacBook Pro (14-inch, 2021)
Geekbench AI Score
8011
Single Precision Score
8762
Half Precision Score
7709
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Chineezze |
| Upload Date | March 18 2025 01:29 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
3871
719.9 IPS |
|
|
Image Classification (HP)
|
100% |
3958
736.1 IPS |
|
|
Image Classification (Q)
|
97% |
3273
610.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
5877
95.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5908
95.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
5854
94.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
29881
34.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
31347
36.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
29080
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
3678
291.8 IPS |
|
|
Object Detection (HP)
|
100% |
3900
309.4 IPS |
|
|
Object Detection (Q)
|
91% |
3218
257.2 IPS |
|
|
Face Detection (SP)
|
100% |
13007
154.5 IPS |
|
|
Face Detection (HP)
|
100% |
13546
161.0 IPS |
|
|
Face Detection (Q)
|
100% |
9599
114.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17573
135.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
17924
138.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
15266
119.3 IPS |
|
|
Style Transfer (SP)
|
100% |
50230
64.6 IPS |
|
|
Style Transfer (HP)
|
100% |
59191
76.1 IPS |
|
|
Style Transfer (Q)
|
96% |
55010
71.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10654
393.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10827
399.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8591
317.2 IPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3977
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3959
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1553
26.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1509
26.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1508
26.1 IPS |
