MacBook Pro (14-inch, 2021)
Geekbench AI Score
3629
Single Precision Score
5844
Half Precision Score
4661
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 22 2025 11:02 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5053f) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1339
249.0 IPS |
|
|
Image Classification (HP)
|
100% |
1999
371.7 IPS |
|
|
Image Classification (Q)
|
96% |
1483
277.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1560
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2286
37.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2594
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10848
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
21858
25.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17013
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
1535
121.8 IPS |
|
|
Object Detection (HP)
|
97% |
2272
180.9 IPS |
|
|
Object Detection (Q)
|
94% |
1673
133.4 IPS |
|
|
Face Detection (SP)
|
100% |
3082
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
5235
62.2 IPS |
|
|
Face Detection (Q)
|
100% |
2971
35.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5641
43.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10052
77.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7036
55.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21831
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
34007
43.7 IPS |
|
|
Style Transfer (Q)
|
96% |
27178
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4385
161.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5982
220.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4090
151.0 IPS |
|
|
Text Classification (SP)
|
100% |
2287
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3995
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3975
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2995
51.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4790
82.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4794
82.8 IPS |
