MacBook Pro (16-inch, 2021)
Geekbench AI Score
3731
Single Precision Score
5821
Half Precision Score
4973
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | tboneuk1691 |
| Upload Date | November 21 2024 10:31 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| 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% |
1332
247.7 IPS |
|
|
Image Classification (HP)
|
100% |
2033
378.0 IPS |
|
|
Image Classification (Q)
|
99% |
2037
380.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1639
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2395
38.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
2403
39.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11181
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
22063
25.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
16894
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
1547
122.7 IPS |
|
|
Object Detection (HP)
|
97% |
2373
188.9 IPS |
|
|
Object Detection (Q)
|
94% |
1711
136.4 IPS |
|
|
Face Detection (SP)
|
100% |
3227
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
5397
64.1 IPS |
|
|
Face Detection (Q)
|
100% |
3133
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5879
45.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11030
85.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
10846
83.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22128
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
34382
44.2 IPS |
|
|
Style Transfer (Q)
|
100% |
35027
45.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4403
162.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6354
234.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3995
148.0 IPS |
|
|
Text Classification (SP)
|
100% |
2232
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3895
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3890
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3356
57.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3463
59.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3535
61.1 IPS |
