MacBook Pro (14-inch, 2021)
Geekbench AI Score
3742
Single Precision Score
16421
Half Precision Score
16287
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | nagolmas |
| Upload Date | March 27 2025 07:07 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1345
250.1 IPS |
|
|
Image Classification (HP)
|
100% |
6919
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6674
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1576
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9701
157.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10284
166.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11115
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70015
81.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
65707
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1582
125.5 IPS |
|
|
Object Detection (HP)
|
99% |
7901
628.5 IPS |
|
|
Object Detection (Q)
|
91% |
7389
590.5 IPS |
|
|
Face Detection (SP)
|
100% |
3213
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
16080
191.1 IPS |
|
|
Face Detection (Q)
|
100% |
14843
176.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6019
46.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
51534
397.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
53272
416.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22593
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
119499
153.6 IPS |
|
|
Style Transfer (Q)
|
96% |
115523
149.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4346
160.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26080
963.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27808
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2292
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4002
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4021
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3322
57.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3716
64.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3860
66.7 IPS |
