MacBook Pro (14-inch, 2021)
Geekbench AI Score
3655
Single Precision Score
16414
Half Precision Score
16216
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | carlos.sancineto |
| Upload Date | May 28 2025 11:01 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1340
249.2 IPS |
|
|
Image Classification (HP)
|
100% |
6886
1.28 KIPS |
|
|
Image Classification (Q)
|
96% |
6819
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1534
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9689
157.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10429
169.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11034
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
70198
81.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
67602
79.2 IPS |
|
|
Object Detection (SP)
|
100% |
1551
123.0 IPS |
|
|
Object Detection (HP)
|
99% |
7971
634.1 IPS |
|
|
Object Detection (Q)
|
91% |
7508
599.9 IPS |
|
|
Face Detection (SP)
|
100% |
3196
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
16093
191.2 IPS |
|
|
Face Detection (Q)
|
100% |
13051
155.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5732
44.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
51473
396.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
53258
416.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21989
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
121385
156.0 IPS |
|
|
Style Transfer (Q)
|
96% |
116656
150.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4337
160.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25740
950.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28310
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2261
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3977
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3954
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3069
52.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3695
63.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3840
66.4 IPS |
