MacBook Pro MacBook Pro (16-inch, 2021)
Geekbench AI Score
7934
Single Precision Score
8807
Half Precision Score
7779
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | garylancast |
| Upload Date | September 24 2024 02:14 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5046f) |
| 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% |
3905
726.2 IPS |
|
|
Image Classification (HP)
|
100% |
3984
740.9 IPS |
|
|
Image Classification (Q)
|
97% |
3431
640.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6349
102.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6416
104.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6390
103.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
32550
38.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
34751
40.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
32011
37.5 IPS |
|
|
Object Detection (SP)
|
100% |
3880
307.8 IPS |
|
|
Object Detection (HP)
|
100% |
4010
318.1 IPS |
|
|
Object Detection (Q)
|
91% |
3418
273.1 IPS |
|
|
Face Detection (SP)
|
100% |
13892
165.1 IPS |
|
|
Face Detection (HP)
|
100% |
14453
171.7 IPS |
|
|
Face Detection (Q)
|
100% |
10450
124.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
19539
150.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
20764
160.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
16963
132.6 IPS |
|
|
Style Transfer (SP)
|
100% |
53453
68.7 IPS |
|
|
Style Transfer (HP)
|
100% |
63343
81.4 IPS |
|
|
Style Transfer (Q)
|
96% |
59656
77.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10524
388.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11238
415.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8889
328.2 IPS |
|
|
Text Classification (SP)
|
100% |
2203
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
3785
5.05 KIPS |
|
|
Text Classification (Q)
|
93% |
3720
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
939
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
975
16.8 IPS |
|
|
Machine Translation (Q)
|
98% |
968
16.7 IPS |
