MacBook Pro (14-inch, 2021)
Geekbench AI Score
7440
Single Precision Score
8313
Half Precision Score
6265
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Eterius |
| Upload Date | August 16 2024 11:24 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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 | 3.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3574
664.6 IPS |
|
|
Image Classification (HP)
|
100% |
3672
682.9 IPS |
|
|
Image Classification (Q)
|
99% |
3233
603.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
5708
92.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5835
94.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
5679
92.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
29408
34.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
30892
36.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
27438
32.1 IPS |
|
|
Object Detection (SP)
|
100% |
3578
283.8 IPS |
|
|
Object Detection (HP)
|
100% |
3767
298.8 IPS |
|
|
Object Detection (Q)
|
91% |
2905
232.1 IPS |
|
|
Face Detection (SP)
|
100% |
12792
152.0 IPS |
|
|
Face Detection (HP)
|
100% |
13448
159.8 IPS |
|
|
Face Detection (Q)
|
100% |
9187
109.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
17080
131.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
17540
135.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
3237
25.0 IPS |
|
|
Style Transfer (SP)
|
100% |
49344
63.4 IPS |
|
|
Style Transfer (HP)
|
100% |
58217
74.8 IPS |
|
|
Style Transfer (Q)
|
100% |
57574
74.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10021
370.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10659
393.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7611
282.0 IPS |
|
|
Text Classification (SP)
|
100% |
2215
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3759
5.02 KIPS |
|
|
Text Classification (Q)
|
93% |
3720
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
1013
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1149
19.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1314
22.7 IPS |
