MacBook Pro (14-inch, 2021)
Geekbench AI Score
2336
Single Precision Score
3484
Half Precision Score
2888
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | yuyhero |
| Upload Date | August 17 2024 07:56 AM |
| Views | 6 |
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, 8 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 2.44 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1075
199.9 IPS |
|
|
Image Classification (HP)
|
100% |
1348
250.7 IPS |
|
|
Image Classification (Q)
|
99% |
1343
250.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
997
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
926
15.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
926
15.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4635
5.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
11127
13.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9464
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
1152
91.4 IPS |
|
|
Object Detection (HP)
|
97% |
1570
125.0 IPS |
|
|
Object Detection (Q)
|
94% |
1203
95.9 IPS |
|
|
Face Detection (SP)
|
100% |
2213
26.3 IPS |
|
|
Face Detection (HP)
|
100% |
3286
39.0 IPS |
|
|
Face Detection (Q)
|
100% |
2098
24.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4279
33.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
6570
50.8 IPS |
|
|
Depth Estimation (Q)
|
96% |
3076
23.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12515
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
19729
25.4 IPS |
|
|
Style Transfer (Q)
|
100% |
19724
25.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2857
105.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3487
128.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2768
102.5 IPS |
|
|
Text Classification (SP)
|
100% |
1909
2.55 KIPS |
|
|
Text Classification (HP)
|
100% |
3025
4.04 KIPS |
|
|
Text Classification (Q)
|
93% |
3000
4.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1309
22.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2694
46.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2697
46.6 IPS |
