MacBook Pro (14-inch, 2021)
Geekbench AI Score
7990
Single Precision Score
8737
Half Precision Score
7673
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | astazyx |
| Upload Date | March 08 2025 01:25 AM |
| Views | 4 |
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% |
3837
713.6 IPS |
|
|
Image Classification (HP)
|
100% |
3826
711.5 IPS |
|
|
Image Classification (Q)
|
97% |
3169
591.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5883
95.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5929
96.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5838
94.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
29877
34.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
31350
36.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
29067
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
3589
284.7 IPS |
|
|
Object Detection (HP)
|
100% |
3946
313.0 IPS |
|
|
Object Detection (Q)
|
91% |
3248
259.5 IPS |
|
|
Face Detection (SP)
|
100% |
13319
158.3 IPS |
|
|
Face Detection (HP)
|
100% |
13483
160.2 IPS |
|
|
Face Detection (Q)
|
100% |
9588
113.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17460
134.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
17894
137.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
15030
117.5 IPS |
|
|
Style Transfer (SP)
|
100% |
50211
64.5 IPS |
|
|
Style Transfer (HP)
|
100% |
59018
75.9 IPS |
|
|
Style Transfer (Q)
|
96% |
55016
71.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10613
391.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10954
404.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8665
320.0 IPS |
|
|
Text Classification (SP)
|
100% |
2276
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3904
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3899
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1554
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1518
26.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1513
26.1 IPS |
