MacBook Pro (14-inch, 2021)
Geekbench AI Score
3750
Single Precision Score
15171
Half Precision Score
15594
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | netdevil |
| Upload Date | November 09 2024 03:24 PM |
| Views | 3 |
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, 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% |
1339
248.9 IPS |
|
|
Image Classification (HP)
|
100% |
6925
1.29 KIPS |
|
|
Image Classification (Q)
|
99% |
7253
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1587
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8138
131.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
8066
130.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11221
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
68459
79.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
64650
75.8 IPS |
|
|
Object Detection (SP)
|
100% |
1582
125.5 IPS |
|
|
Object Detection (HP)
|
99% |
7310
581.5 IPS |
|
|
Object Detection (Q)
|
91% |
7498
599.1 IPS |
|
|
Face Detection (SP)
|
100% |
3306
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
12093
143.7 IPS |
|
|
Face Detection (Q)
|
100% |
13355
158.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5921
45.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
45366
349.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
48864
377.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22495
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
116203
149.4 IPS |
|
|
Style Transfer (Q)
|
100% |
121996
156.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4346
160.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25797
952.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
27564
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3998
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3918
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3334
57.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3484
60.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3488
60.3 IPS |
