MacBook Pro (16-inch, 2021)
Geekbench AI Score
3514
Single Precision Score
5558
Half Precision Score
4585
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 11 2024 03:59 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 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% |
1276
237.2 IPS |
|
|
Image Classification (HP)
|
100% |
1973
366.8 IPS |
|
|
Image Classification (Q)
|
96% |
1461
272.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1495
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2235
36.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2573
41.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10489
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
21150
24.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16543
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
1521
120.7 IPS |
|
|
Object Detection (HP)
|
97% |
2261
180.0 IPS |
|
|
Object Detection (Q)
|
94% |
1683
134.1 IPS |
|
|
Face Detection (SP)
|
100% |
3018
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5158
61.3 IPS |
|
|
Face Detection (Q)
|
100% |
3014
35.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5713
44.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10539
81.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7198
56.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21284
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
33764
43.4 IPS |
|
|
Style Transfer (Q)
|
96% |
26558
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3683
136.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5932
219.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3860
142.5 IPS |
|
|
Text Classification (SP)
|
100% |
2274
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3921
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3895
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3078
53.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3126
54.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4534
78.4 IPS |
