MacBook Pro (14-inch, 2021)
Geekbench AI Score
1774
Single Precision Score
11617
Half Precision Score
9523
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | GianPaJ |
| Upload Date | April 04 2025 09:00 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.7.5 (Build 23H527) |
| 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 | 2.44 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
787
146.4 IPS |
|
|
Image Classification (HP)
|
100% |
6253
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5796
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
533
8.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
3714
60.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
408
6.62 IPS |
|
|
Pose Estimation (SP)
|
100% |
8682
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
67606
78.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
64618
75.7 IPS |
|
|
Object Detection (SP)
|
100% |
904
71.7 IPS |
|
|
Object Detection (HP)
|
99% |
6652
529.1 IPS |
|
|
Object Detection (Q)
|
93% |
6481
517.2 IPS |
|
|
Face Detection (SP)
|
100% |
1625
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
10268
122.0 IPS |
|
|
Face Detection (Q)
|
100% |
10662
126.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3057
23.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
43648
336.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
50855
397.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10228
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
114024
146.6 IPS |
|
|
Style Transfer (Q)
|
96% |
111371
143.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1998
73.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17940
662.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21928
809.7 IPS |
|
|
Text Classification (SP)
|
100% |
709
946.3 IPS |
|
|
Text Classification (HP)
|
100% |
2626
3.50 KIPS |
|
|
Text Classification (Q)
|
93% |
2629
3.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1310
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1781
30.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1781
30.8 IPS |
