MacBook Pro (16-inch, 2021)
Geekbench AI Score
3522
Single Precision Score
5513
Half Precision Score
4559
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | purity |
| Upload Date | January 01 2025 11:32 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
1255
233.4 IPS |
|
|
Image Classification (HP)
|
100% |
1973
366.9 IPS |
|
|
Image Classification (Q)
|
96% |
1453
271.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1590
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2240
36.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2661
43.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10436
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
21372
24.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
16263
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
1480
117.4 IPS |
|
|
Object Detection (HP)
|
97% |
2281
181.6 IPS |
|
|
Object Detection (Q)
|
94% |
1678
133.7 IPS |
|
|
Face Detection (SP)
|
100% |
2870
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
4770
56.7 IPS |
|
|
Face Detection (Q)
|
100% |
2848
33.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5577
43.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10846
83.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7245
56.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20867
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33225
42.7 IPS |
|
|
Style Transfer (Q)
|
96% |
26050
33.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4146
153.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6006
221.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3907
144.3 IPS |
|
|
Text Classification (SP)
|
100% |
2268
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3928
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3891
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3041
52.4 IPS |
|
|
Machine Translation (HP)
|
98% |
2969
51.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4506
77.9 IPS |
