MacBook Pro (16-inch, 2021)
Geekbench AI Score
3502
Single Precision Score
5540
Half Precision Score
4545
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | acorello |
| Upload Date | February 19 2025 10:43 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,1 |
| Motherboard | MacBookPro18,1 |
| 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% |
1272
236.5 IPS |
|
|
Image Classification (HP)
|
100% |
2030
377.6 IPS |
|
|
Image Classification (Q)
|
96% |
1453
271.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1503
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2255
36.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2563
41.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10383
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
21040
24.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16762
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
1472
116.7 IPS |
|
|
Object Detection (HP)
|
97% |
2288
182.1 IPS |
|
|
Object Detection (Q)
|
94% |
1679
133.8 IPS |
|
|
Face Detection (SP)
|
100% |
2896
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
5043
59.9 IPS |
|
|
Face Detection (Q)
|
100% |
2847
33.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5528
42.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10307
79.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7306
57.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20931
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33634
43.2 IPS |
|
|
Style Transfer (Q)
|
96% |
25159
32.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4140
152.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5961
220.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3918
144.7 IPS |
|
|
Text Classification (SP)
|
100% |
2266
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3939
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3879
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3024
52.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3015
52.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4516
78.0 IPS |
