MacBook Pro (16-inch, 2021)
Geekbench AI Score
3581
Single Precision Score
5526
Half Precision Score
4586
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | TSMusik |
| Upload Date | January 29 2025 04:55 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
1279
237.8 IPS |
|
|
Image Classification (HP)
|
100% |
1984
369.0 IPS |
|
|
Image Classification (Q)
|
96% |
1479
276.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1523
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2224
36.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2583
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10686
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
21362
24.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
16777
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
1492
118.3 IPS |
|
|
Object Detection (HP)
|
97% |
2319
184.7 IPS |
|
|
Object Detection (Q)
|
94% |
1691
134.8 IPS |
|
|
Face Detection (SP)
|
100% |
3174
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
4770
56.7 IPS |
|
|
Face Detection (Q)
|
100% |
3061
36.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5744
44.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10465
80.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7178
56.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20899
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32804
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
24694
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4154
153.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6017
222.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3981
147.0 IPS |
|
|
Text Classification (SP)
|
100% |
2259
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3892
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3870
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3124
53.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3168
54.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4551
78.6 IPS |
