MacBook Pro (14-inch, 2021)
Geekbench AI Score
2738
Single Precision Score
4164
Half Precision Score
3633
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | lollo20 |
| Upload Date | September 08 2024 04:52 PM |
| Views | 9 |
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% |
1276
237.3 IPS |
|
|
Image Classification (HP)
|
100% |
1615
300.3 IPS |
|
|
Image Classification (Q)
|
96% |
1270
237.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1194
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1174
19.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1683
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5638
6.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
13092
15.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11337
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1354
107.4 IPS |
|
|
Object Detection (HP)
|
97% |
1890
150.5 IPS |
|
|
Object Detection (Q)
|
94% |
1470
117.2 IPS |
|
|
Face Detection (SP)
|
100% |
2539
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
3954
47.0 IPS |
|
|
Face Detection (Q)
|
100% |
2585
30.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5013
38.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
7836
60.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
6017
47.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14597
18.8 IPS |
|
|
Style Transfer (HP)
|
100% |
23506
30.2 IPS |
|
|
Style Transfer (Q)
|
96% |
20102
25.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3307
122.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4094
151.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3261
120.4 IPS |
|
|
Text Classification (SP)
|
100% |
2222
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3580
4.78 KIPS |
|
|
Text Classification (Q)
|
93% |
3549
4.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
1492
25.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3134
54.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3116
53.9 IPS |
