MacBook Pro (14-inch, 2021)
Geekbench AI Score
7228
Single Precision Score
7974
Half Precision Score
7219
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ktim8 |
| Upload Date | November 04 2024 04:11 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 3.21 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3760
699.2 IPS |
|
|
Image Classification (HP)
|
100% |
3955
735.4 IPS |
|
|
Image Classification (Q)
|
97% |
3169
591.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
5917
95.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5906
95.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5851
94.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
29860
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
31332
36.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
29113
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
3510
278.4 IPS |
|
|
Object Detection (HP)
|
100% |
3988
316.3 IPS |
|
|
Object Detection (Q)
|
91% |
3245
259.3 IPS |
|
|
Face Detection (SP)
|
100% |
13014
154.6 IPS |
|
|
Face Detection (HP)
|
100% |
13597
161.6 IPS |
|
|
Face Detection (Q)
|
100% |
9658
114.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
17389
134.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
17900
137.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
14816
115.8 IPS |
|
|
Style Transfer (SP)
|
100% |
50063
64.4 IPS |
|
|
Style Transfer (HP)
|
100% |
58975
75.8 IPS |
|
|
Style Transfer (Q)
|
96% |
55012
71.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10503
387.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10999
406.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8573
316.5 IPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3944
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
4009
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
613
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
572
9.84 IPS |
|
|
Machine Translation (Q)
|
98% |
812
14.0 IPS |
