MacBook Pro (14-inch, 2021)
Geekbench AI Score
8265
Single Precision Score
8928
Half Precision Score
7963
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | kunalkapoor |
| Upload Date | November 09 2024 07:01 PM |
| Views | 1 |
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, 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% |
4006
745.1 IPS |
|
|
Image Classification (HP)
|
100% |
4027
748.8 IPS |
|
|
Image Classification (Q)
|
97% |
3468
647.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6306
102.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6437
104.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6420
104.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
32941
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34892
40.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
32388
38.0 IPS |
|
|
Object Detection (SP)
|
100% |
3921
311.0 IPS |
|
|
Object Detection (HP)
|
100% |
4126
327.3 IPS |
|
|
Object Detection (Q)
|
91% |
3409
272.4 IPS |
|
|
Face Detection (SP)
|
100% |
13944
165.7 IPS |
|
|
Face Detection (HP)
|
100% |
14700
174.7 IPS |
|
|
Face Detection (Q)
|
100% |
10473
124.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
19788
152.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
20533
158.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
17331
135.4 IPS |
|
|
Style Transfer (SP)
|
100% |
53812
69.2 IPS |
|
|
Style Transfer (HP)
|
100% |
63831
82.1 IPS |
|
|
Style Transfer (Q)
|
96% |
59897
77.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10767
397.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11298
417.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8831
326.1 IPS |
|
|
Text Classification (SP)
|
100% |
2289
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3987
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3892
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1246
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
994
17.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1116
19.3 IPS |
