MacBook Pro (16-inch, 2021)
Geekbench AI Score
7611
Single Precision Score
8607
Half Precision Score
7689
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | gbjdsv |
| Upload Date | November 15 2024 10:56 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 2.67 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4034
750.2 IPS |
|
|
Image Classification (HP)
|
100% |
4061
755.3 IPS |
|
|
Image Classification (Q)
|
97% |
3516
656.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6384
103.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6458
104.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6429
104.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
32943
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34888
40.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
32402
38.0 IPS |
|
|
Object Detection (SP)
|
100% |
3388
268.7 IPS |
|
|
Object Detection (HP)
|
100% |
3695
293.1 IPS |
|
|
Object Detection (Q)
|
91% |
3417
273.0 IPS |
|
|
Face Detection (SP)
|
100% |
13857
164.7 IPS |
|
|
Face Detection (HP)
|
100% |
14848
176.4 IPS |
|
|
Face Detection (Q)
|
100% |
10400
123.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20002
154.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
21049
162.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
17040
133.2 IPS |
|
|
Style Transfer (SP)
|
100% |
53919
69.3 IPS |
|
|
Style Transfer (HP)
|
100% |
63733
81.9 IPS |
|
|
Style Transfer (Q)
|
96% |
59821
77.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10724
396.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11216
414.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8790
324.6 IPS |
|
|
Text Classification (SP)
|
100% |
2146
2.86 KIPS |
|
|
Text Classification (HP)
|
100% |
3627
4.84 KIPS |
|
|
Text Classification (Q)
|
93% |
3625
4.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
660
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
815
14.0 IPS |
|
|
Machine Translation (Q)
|
98% |
855
14.8 IPS |
