MacBook Pro (16-inch, 2021)
Geekbench AI Score
3606
Single Precision Score
5668
Half Precision Score
4609
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | harman767 |
| Upload Date | March 26 2025 07:11 PM |
| 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 (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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1297
241.1 IPS |
|
|
Image Classification (HP)
|
100% |
2028
377.2 IPS |
|
|
Image Classification (Q)
|
96% |
1462
273.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1518
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2253
36.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2607
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10636
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
21419
25.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16781
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
1521
120.7 IPS |
|
|
Object Detection (HP)
|
97% |
2315
184.3 IPS |
|
|
Object Detection (Q)
|
94% |
1680
133.9 IPS |
|
|
Face Detection (SP)
|
100% |
3117
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
4997
59.4 IPS |
|
|
Face Detection (Q)
|
100% |
2988
35.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5765
44.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10799
83.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7286
57.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21559
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
33024
42.5 IPS |
|
|
Style Transfer (Q)
|
96% |
25836
33.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4244
156.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6355
234.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3934
145.2 IPS |
|
|
Text Classification (SP)
|
100% |
2289
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3989
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3993
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3103
53.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3345
57.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4560
78.8 IPS |
