MacBook Pro (14-inch, 2021)
Geekbench AI Score
3750
Single Precision Score
5753
Half Precision Score
4751
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | HJD |
| Upload Date | November 13 2024 01:22 AM |
| Views | 5 |
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 (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1344
249.9 IPS |
|
|
Image Classification (HP)
|
100% |
2044
380.2 IPS |
|
|
Image Classification (Q)
|
96% |
1492
278.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1595
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2245
36.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2654
43.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11210
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
21040
24.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17061
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
1582
125.5 IPS |
|
|
Object Detection (HP)
|
97% |
2368
188.6 IPS |
|
|
Object Detection (Q)
|
94% |
1738
138.5 IPS |
|
|
Face Detection (SP)
|
100% |
3220
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
5317
63.2 IPS |
|
|
Face Detection (Q)
|
100% |
3118
37.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5949
45.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10877
84.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7434
58.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22277
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35680
45.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27645
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4348
160.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6134
226.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3988
147.3 IPS |
|
|
Text Classification (SP)
|
100% |
2289
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4022
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4043
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3414
58.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3417
59.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4838
83.6 IPS |
