MacBook Pro (16-inch, 2021)
Geekbench AI Score
3613
Single Precision Score
5597
Half Precision Score
4615
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | klflv |
| Upload Date | November 20 2024 02:35 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
1305
242.8 IPS |
|
|
Image Classification (HP)
|
100% |
1998
371.6 IPS |
|
|
Image Classification (Q)
|
96% |
1464
273.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1566
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2272
36.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2607
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10719
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
21763
25.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16821
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
1514
120.1 IPS |
|
|
Object Detection (HP)
|
97% |
2290
182.3 IPS |
|
|
Object Detection (Q)
|
94% |
1716
136.8 IPS |
|
|
Face Detection (SP)
|
100% |
3011
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
5323
63.2 IPS |
|
|
Face Detection (Q)
|
100% |
2924
34.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5864
45.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10276
79.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7231
56.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21505
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
33486
43.0 IPS |
|
|
Style Transfer (Q)
|
96% |
26474
34.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4222
155.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6045
223.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3953
146.0 IPS |
|
|
Text Classification (SP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3935
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3919
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3122
53.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3064
53.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4591
79.3 IPS |
