MacBook Pro (14-inch, 2021)
Geekbench AI Score
8335
Single Precision Score
8875
Half Precision Score
6878
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | netdevil |
| Upload Date | November 09 2024 03:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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, 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% |
4035
750.5 IPS |
|
|
Image Classification (HP)
|
100% |
4062
755.5 IPS |
|
|
Image Classification (Q)
|
99% |
4143
772.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6294
102.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6439
104.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
6485
105.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
32817
38.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
34838
40.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
31356
36.7 IPS |
|
|
Object Detection (SP)
|
100% |
3947
313.1 IPS |
|
|
Object Detection (HP)
|
100% |
4090
324.4 IPS |
|
|
Object Detection (Q)
|
91% |
3426
273.7 IPS |
|
|
Face Detection (SP)
|
100% |
13913
165.3 IPS |
|
|
Face Detection (HP)
|
100% |
13537
160.8 IPS |
|
|
Face Detection (Q)
|
100% |
10516
125.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
19985
154.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
20627
158.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
3741
28.9 IPS |
|
|
Style Transfer (SP)
|
100% |
54001
69.4 IPS |
|
|
Style Transfer (HP)
|
100% |
63649
81.8 IPS |
|
|
Style Transfer (Q)
|
100% |
63672
81.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10694
394.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11325
418.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8578
317.8 IPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4008
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3955
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1334
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1009
17.4 IPS |
|
|
Machine Translation (Q)
|
98% |
967
16.7 IPS |
