MacBook Pro (16-inch, 2021)
Geekbench AI Score
3638
Single Precision Score
5745
Half Precision Score
4662
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 14 2024 06:02 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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 | 3.15 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1305
242.7 IPS |
|
|
Image Classification (HP)
|
100% |
1975
367.4 IPS |
|
|
Image Classification (Q)
|
96% |
1433
267.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1580
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2315
37.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2646
42.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10601
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
21759
25.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17122
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
1543
122.4 IPS |
|
|
Object Detection (HP)
|
97% |
2318
184.5 IPS |
|
|
Object Detection (Q)
|
94% |
1706
136.0 IPS |
|
|
Face Detection (SP)
|
100% |
3296
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
5418
64.4 IPS |
|
|
Face Detection (Q)
|
100% |
3093
36.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5612
43.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10471
80.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7292
57.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21777
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34656
44.6 IPS |
|
|
Style Transfer (Q)
|
96% |
27028
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4310
159.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6145
226.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3994
147.5 IPS |
|
|
Text Classification (SP)
|
100% |
2180
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
3791
5.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3730
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3184
54.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3713
64.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4829
83.5 IPS |
