MacBook Pro (14-inch, 2021)
Geekbench AI Score
3651
Single Precision Score
5782
Half Precision Score
4698
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 12 2025 10:49 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1343
249.7 IPS |
|
|
Image Classification (HP)
|
100% |
2013
374.3 IPS |
|
|
Image Classification (Q)
|
96% |
1502
280.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1510
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2195
35.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2559
41.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11063
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
22295
26.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
17478
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
1544
122.5 IPS |
|
|
Object Detection (HP)
|
97% |
2316
184.4 IPS |
|
|
Object Detection (Q)
|
94% |
1732
138.1 IPS |
|
|
Face Detection (SP)
|
100% |
3188
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
5178
61.5 IPS |
|
|
Face Detection (Q)
|
100% |
3045
36.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5723
44.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10236
79.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7045
55.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21900
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
31626
40.7 IPS |
|
|
Style Transfer (Q)
|
96% |
26999
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4320
159.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5649
208.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4044
149.3 IPS |
|
|
Text Classification (SP)
|
100% |
2283
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4021
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4003
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3085
53.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4809
83.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4803
83.0 IPS |
