MacBook Pro (14-inch, 2021)
Geekbench AI Score
3741
Single Precision Score
16363
Half Precision Score
16239
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ktim8 |
| Upload Date | November 04 2024 04:14 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.22 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1340
249.2 IPS |
|
|
Image Classification (HP)
|
100% |
6776
1.26 KIPS |
|
|
Image Classification (Q)
|
96% |
6513
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1580
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9661
156.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10323
167.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11142
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70759
82.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
66275
77.7 IPS |
|
|
Object Detection (SP)
|
100% |
1575
124.9 IPS |
|
|
Object Detection (HP)
|
99% |
8019
637.9 IPS |
|
|
Object Detection (Q)
|
91% |
7594
606.8 IPS |
|
|
Face Detection (SP)
|
100% |
3324
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
15882
188.7 IPS |
|
|
Face Detection (Q)
|
100% |
14812
176.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5913
45.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
50981
392.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
53383
417.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22467
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
120332
154.7 IPS |
|
|
Style Transfer (Q)
|
96% |
116115
149.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4342
160.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26110
964.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27806
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2278
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
4024
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4001
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3316
57.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3620
62.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3691
63.8 IPS |
