MacBook Pro (14-inch, 2021)
Geekbench AI Score
3634
Single Precision Score
5758
Half Precision Score
5000
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | April 13 2025 03:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 3.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1329
247.1 IPS |
|
|
Image Classification (HP)
|
100% |
2002
372.3 IPS |
|
|
Image Classification (Q)
|
99% |
2009
374.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1519
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2186
35.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
2204
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11084
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
21490
25.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
16771
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
1528
121.2 IPS |
|
|
Object Detection (HP)
|
97% |
2272
180.9 IPS |
|
|
Object Detection (Q)
|
94% |
1692
134.8 IPS |
|
|
Face Detection (SP)
|
100% |
3163
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
5198
61.8 IPS |
|
|
Face Detection (Q)
|
100% |
3057
36.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5702
43.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10066
77.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
10169
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21967
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33896
43.6 IPS |
|
|
Style Transfer (Q)
|
100% |
34007
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4320
159.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5644
208.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3973
147.2 IPS |
|
|
Text Classification (SP)
|
100% |
2276
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3960
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3905
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3017
52.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4732
81.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4739
81.9 IPS |
