MacBook Pro (14-inch, 2021)
Geekbench AI Score
3766
Single Precision Score
15069
Half Precision Score
14839
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | astazyx |
| Upload Date | October 03 2024 11:19 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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 | 3.22 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1339
249.1 IPS |
|
|
Image Classification (HP)
|
100% |
7092
1.32 KIPS |
|
|
Image Classification (Q)
|
96% |
6812
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1614
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6478
105.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6796
110.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11351
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
70948
82.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
65761
77.1 IPS |
|
|
Object Detection (SP)
|
100% |
1579
125.2 IPS |
|
|
Object Detection (HP)
|
99% |
8036
639.3 IPS |
|
|
Object Detection (Q)
|
91% |
7494
598.8 IPS |
|
|
Face Detection (SP)
|
100% |
3238
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
16088
191.2 IPS |
|
|
Face Detection (Q)
|
100% |
14883
176.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5908
45.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
52416
403.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
54007
422.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22499
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
120758
155.2 IPS |
|
|
Style Transfer (Q)
|
96% |
116827
150.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4404
162.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26388
974.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28484
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4000
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3993
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3398
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2145
37.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2125
36.7 IPS |
