MacBook Pro (14-inch, 2021)
Geekbench AI Score
7952
Single Precision Score
8719
Half Precision Score
7675
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 13 2025 06:33 AM |
| Views | 1 |
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% |
3732
694.0 IPS |
|
|
Image Classification (HP)
|
100% |
3826
711.4 IPS |
|
|
Image Classification (Q)
|
97% |
3172
591.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
5852
94.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5877
95.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5849
94.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
29784
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
31274
36.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
29055
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
3681
292.0 IPS |
|
|
Object Detection (HP)
|
100% |
3911
310.2 IPS |
|
|
Object Detection (Q)
|
91% |
3236
258.6 IPS |
|
|
Face Detection (SP)
|
100% |
13003
154.5 IPS |
|
|
Face Detection (HP)
|
100% |
13412
159.4 IPS |
|
|
Face Detection (Q)
|
100% |
9554
113.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17348
133.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
17843
137.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
15052
117.7 IPS |
|
|
Style Transfer (SP)
|
100% |
50064
64.4 IPS |
|
|
Style Transfer (HP)
|
100% |
58983
75.8 IPS |
|
|
Style Transfer (Q)
|
96% |
55070
71.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10509
388.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10921
403.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8665
319.9 IPS |
|
|
Text Classification (SP)
|
100% |
2303
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3992
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3949
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1546
26.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1501
25.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1502
26.0 IPS |
