MacBook Pro (14-inch, 2021)
Geekbench AI Score
7623
Single Precision Score
8709
Half Precision Score
7452
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Karp |
| Upload Date | December 30 2024 05:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3712
690.2 IPS |
|
|
Image Classification (HP)
|
100% |
3832
712.6 IPS |
|
|
Image Classification (Q)
|
97% |
3158
589.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5839
94.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5868
95.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5834
94.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
29819
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
31297
36.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
29091
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
3667
290.9 IPS |
|
|
Object Detection (HP)
|
100% |
3892
308.7 IPS |
|
|
Object Detection (Q)
|
91% |
3225
257.7 IPS |
|
|
Face Detection (SP)
|
100% |
12976
154.2 IPS |
|
|
Face Detection (HP)
|
100% |
13651
162.2 IPS |
|
|
Face Detection (Q)
|
100% |
9526
113.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
17341
133.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
17827
137.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
15029
117.5 IPS |
|
|
Style Transfer (SP)
|
100% |
50063
64.4 IPS |
|
|
Style Transfer (HP)
|
100% |
58977
75.8 IPS |
|
|
Style Transfer (Q)
|
96% |
55011
71.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10328
381.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10834
400.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8806
325.2 IPS |
|
|
Text Classification (SP)
|
100% |
2283
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3940
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3919
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1053
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1497
25.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1125
19.4 IPS |
