MacBook Pro (14-inch, 2021)
Geekbench AI Score
2756
Single Precision Score
4166
Half Precision Score
3645
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | mitgeek |
| Upload Date | September 09 2024 10:58 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
1283
238.6 IPS |
|
|
Image Classification (HP)
|
100% |
1599
297.4 IPS |
|
|
Image Classification (Q)
|
96% |
1273
237.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1188
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1172
19.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1679
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5647
6.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
13119
15.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11377
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1361
107.9 IPS |
|
|
Object Detection (HP)
|
97% |
1896
150.9 IPS |
|
|
Object Detection (Q)
|
94% |
1461
116.5 IPS |
|
|
Face Detection (SP)
|
100% |
2589
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
3902
46.4 IPS |
|
|
Face Detection (Q)
|
100% |
2568
30.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5059
39.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
7885
60.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
6023
47.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14849
19.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23664
30.4 IPS |
|
|
Style Transfer (Q)
|
96% |
20172
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3337
123.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4042
149.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3322
122.7 IPS |
|
|
Text Classification (SP)
|
100% |
2235
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3649
4.87 KIPS |
|
|
Text Classification (Q)
|
93% |
3574
4.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1488
25.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3153
54.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3146
54.4 IPS |
