MacBook Pro (14-inch, 2021)
Geekbench AI Score
3725
Single Precision Score
15702
Half Precision Score
15663
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Selder |
| Upload Date | December 28 2024 08:17 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1315
244.6 IPS |
|
|
Image Classification (HP)
|
100% |
6292
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
6216
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1604
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9417
152.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10106
163.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11097
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
69757
81.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
66096
77.5 IPS |
|
|
Object Detection (SP)
|
100% |
1582
125.5 IPS |
|
|
Object Detection (HP)
|
99% |
7555
600.9 IPS |
|
|
Object Detection (Q)
|
91% |
7034
562.1 IPS |
|
|
Face Detection (SP)
|
100% |
3175
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
14857
176.5 IPS |
|
|
Face Detection (Q)
|
100% |
13818
164.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6010
46.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
49846
384.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
52154
407.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22210
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
118784
152.7 IPS |
|
|
Style Transfer (Q)
|
96% |
115113
148.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4330
159.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25745
950.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27700
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2278
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3905
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3915
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3327
57.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3300
56.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3383
58.5 IPS |
