MacBook Pro (14-inch, 2021)
Geekbench AI Score
3736
Single Precision Score
5702
Half Precision Score
4699
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 13 2025 06:30 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
1332
247.7 IPS |
|
|
Image Classification (HP)
|
100% |
2056
382.4 IPS |
|
|
Image Classification (Q)
|
96% |
1497
279.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1570
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2243
36.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2632
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11060
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
21802
25.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17070
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
1581
125.4 IPS |
|
|
Object Detection (HP)
|
97% |
2346
186.8 IPS |
|
|
Object Detection (Q)
|
94% |
1724
137.4 IPS |
|
|
Face Detection (SP)
|
100% |
3286
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
5320
63.2 IPS |
|
|
Face Detection (Q)
|
100% |
3131
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5981
46.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10824
83.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7313
57.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22034
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
34515
44.4 IPS |
|
|
Style Transfer (Q)
|
96% |
25603
33.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4347
160.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6236
230.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4003
147.8 IPS |
|
|
Text Classification (SP)
|
100% |
2303
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3995
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3976
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3349
57.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3111
53.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4854
83.9 IPS |
