MacBook Pro (14-inch, 2021)
Geekbench AI Score
3663
Single Precision Score
5751
Half Precision Score
4688
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | gutermanjunior |
| Upload Date | June 08 2025 09:12 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, 10 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1340
249.2 IPS |
|
|
Image Classification (HP)
|
100% |
2014
374.5 IPS |
|
|
Image Classification (Q)
|
96% |
1502
280.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1542
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2258
36.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2599
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11050
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
21514
25.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17273
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
1552
123.1 IPS |
|
|
Object Detection (HP)
|
97% |
2305
183.5 IPS |
|
|
Object Detection (Q)
|
94% |
1720
137.1 IPS |
|
|
Face Detection (SP)
|
100% |
3200
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
4922
58.5 IPS |
|
|
Face Detection (Q)
|
100% |
3068
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5818
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10310
79.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7078
55.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21841
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
31354
40.3 IPS |
|
|
Style Transfer (Q)
|
96% |
26836
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4304
158.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5844
215.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4041
149.2 IPS |
|
|
Text Classification (SP)
|
100% |
2277
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3971
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3944
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3084
53.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4757
82.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4768
82.4 IPS |
