MacBook Pro (16-inch, 2021)
Geekbench AI Score
2639
Single Precision Score
4072
Half Precision Score
3400
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | andersliland |
| Upload Date | August 28 2024 04:35 PM |
| Views | 4 |
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 | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1237
230.0 IPS |
|
|
Image Classification (HP)
|
100% |
1573
292.4 IPS |
|
|
Image Classification (Q)
|
99% |
1581
294.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1169
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1169
18.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
1160
18.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5421
6.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
12381
14.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
10770
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
1307
103.7 IPS |
|
|
Object Detection (HP)
|
97% |
1848
147.1 IPS |
|
|
Object Detection (Q)
|
94% |
1440
114.8 IPS |
|
|
Face Detection (SP)
|
100% |
2403
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
3738
44.4 IPS |
|
|
Face Detection (Q)
|
100% |
2551
30.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4917
37.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
7638
59.0 IPS |
|
|
Depth Estimation (Q)
|
96% |
3528
27.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14047
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
22870
29.4 IPS |
|
|
Style Transfer (Q)
|
100% |
23167
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3214
118.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4181
154.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3237
119.9 IPS |
|
|
Text Classification (SP)
|
100% |
2223
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3612
4.82 KIPS |
|
|
Text Classification (Q)
|
93% |
3597
4.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1353
23.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3024
52.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2991
51.7 IPS |
