MacBook Pro (14-inch, 2021)
Geekbench AI Score
8300
Single Precision Score
9151
Half Precision Score
7026
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | netdevil |
| Upload Date | November 09 2024 03:52 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% |
4119
765.9 IPS |
|
|
Image Classification (HP)
|
100% |
4299
799.4 IPS |
|
|
Image Classification (Q)
|
99% |
4203
783.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
6385
103.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6533
105.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
6543
106.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
32823
38.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
34944
40.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
31544
36.9 IPS |
|
|
Object Detection (SP)
|
100% |
4024
319.2 IPS |
|
|
Object Detection (HP)
|
100% |
4180
331.5 IPS |
|
|
Object Detection (Q)
|
91% |
3478
277.9 IPS |
|
|
Face Detection (SP)
|
100% |
14039
166.8 IPS |
|
|
Face Detection (HP)
|
100% |
14718
174.9 IPS |
|
|
Face Detection (Q)
|
100% |
10644
126.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
20104
154.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
20905
161.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
3751
29.0 IPS |
|
|
Style Transfer (SP)
|
100% |
53995
69.4 IPS |
|
|
Style Transfer (HP)
|
100% |
63857
82.1 IPS |
|
|
Style Transfer (Q)
|
100% |
63979
82.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10919
403.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11557
426.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8691
322.0 IPS |
|
|
Text Classification (SP)
|
100% |
2313
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4016
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
3995
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1161
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1101
19.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1097
19.0 IPS |
