MacBook Pro (14-inch, 2021)
Geekbench AI Score
2754
Single Precision Score
4186
Half Precision Score
3643
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | mitgeek |
| Upload Date | September 10 2024 02:55 AM |
| Views | 3 |
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% |
1270
236.1 IPS |
|
|
Image Classification (HP)
|
100% |
1624
302.0 IPS |
|
|
Image Classification (Q)
|
96% |
1274
237.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1209
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1176
19.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1686
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5650
6.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
13111
15.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11370
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1366
108.3 IPS |
|
|
Object Detection (HP)
|
97% |
1907
151.8 IPS |
|
|
Object Detection (Q)
|
94% |
1478
117.8 IPS |
|
|
Face Detection (SP)
|
100% |
2561
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
4049
48.1 IPS |
|
|
Face Detection (Q)
|
100% |
2567
30.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5069
39.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
7848
60.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
5982
46.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14750
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23458
30.2 IPS |
|
|
Style Transfer (Q)
|
96% |
20150
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3329
122.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4122
152.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3327
122.8 IPS |
|
|
Text Classification (SP)
|
100% |
2226
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3590
4.79 KIPS |
|
|
Text Classification (Q)
|
93% |
3554
4.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1497
25.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3139
54.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3126
54.0 IPS |
