MacBook Pro (14-inch, 2021)
Geekbench AI Score
8530
Single Precision Score
9375
Half Precision Score
8306
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | kapusmd |
| Upload Date | January 05 2025 09:08 PM |
| Views | 3 |
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% |
4048
752.8 IPS |
|
|
Image Classification (HP)
|
100% |
4064
755.9 IPS |
|
|
Image Classification (Q)
|
97% |
3441
642.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
6302
102.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6446
104.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6423
104.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
32909
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34909
40.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
32332
37.9 IPS |
|
|
Object Detection (SP)
|
100% |
3963
314.4 IPS |
|
|
Object Detection (HP)
|
100% |
4099
325.1 IPS |
|
|
Object Detection (Q)
|
91% |
3415
272.9 IPS |
|
|
Face Detection (SP)
|
100% |
13938
165.6 IPS |
|
|
Face Detection (HP)
|
100% |
14668
174.3 IPS |
|
|
Face Detection (Q)
|
100% |
10648
126.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
19784
152.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
20715
159.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
17595
137.5 IPS |
|
|
Style Transfer (SP)
|
100% |
53954
69.4 IPS |
|
|
Style Transfer (HP)
|
100% |
63920
82.2 IPS |
|
|
Style Transfer (Q)
|
96% |
59885
77.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10855
400.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11289
416.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8850
326.8 IPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3966
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
4032
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1655
28.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1610
27.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1600
27.6 IPS |
