MacBook Pro (14-inch, 2021)
Geekbench AI Score
3733
Single Precision Score
5670
Half Precision Score
4734
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Karp |
| Upload Date | December 30 2024 05:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1327
246.8 IPS |
|
|
Image Classification (HP)
|
100% |
2041
379.6 IPS |
|
|
Image Classification (Q)
|
96% |
1457
272.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1595
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2306
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2669
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11159
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
21754
25.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17012
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
1589
126.1 IPS |
|
|
Object Detection (HP)
|
97% |
2362
188.0 IPS |
|
|
Object Detection (Q)
|
94% |
1737
138.4 IPS |
|
|
Face Detection (SP)
|
100% |
3265
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
5361
63.7 IPS |
|
|
Face Detection (Q)
|
100% |
3171
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5833
44.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10474
81.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7421
58.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22201
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
33177
42.7 IPS |
|
|
Style Transfer (Q)
|
96% |
27288
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4334
160.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6226
229.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4056
149.8 IPS |
|
|
Text Classification (SP)
|
100% |
2289
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3950
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3922
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3341
57.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3103
53.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4820
83.3 IPS |
