MacBook Pro (16-inch, 2021)
Geekbench AI Score
2679
Single Precision Score
4158
Half Precision Score
3589
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 18 2024 08:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
1245
231.6 IPS |
|
|
Image Classification (HP)
|
100% |
1625
302.2 IPS |
|
|
Image Classification (Q)
|
96% |
1251
233.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1190
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1194
19.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1664
27.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5449
6.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
12905
15.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11146
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1312
104.1 IPS |
|
|
Object Detection (HP)
|
97% |
1849
147.2 IPS |
|
|
Object Detection (Q)
|
94% |
1445
115.2 IPS |
|
|
Face Detection (SP)
|
100% |
2389
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
3857
45.8 IPS |
|
|
Face Detection (Q)
|
100% |
2432
28.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4914
37.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
7669
59.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
5959
46.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14343
18.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23408
30.1 IPS |
|
|
Style Transfer (Q)
|
96% |
19995
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3264
120.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4169
153.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3242
119.7 IPS |
|
|
Text Classification (SP)
|
100% |
2245
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3690
4.93 KIPS |
|
|
Text Classification (Q)
|
93% |
3629
4.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1460
25.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3133
54.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3104
53.6 IPS |
