MacBook Pro (14-inch, 2021)
Geekbench AI Score
3610
Single Precision Score
5959
Half Precision Score
4801
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 31 2025 06:37 PM |
| Views | 23 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1330
247.3 IPS |
|
|
Image Classification (HP)
|
100% |
2074
385.7 IPS |
|
|
Image Classification (Q)
|
96% |
1507
281.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1508
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2185
35.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2579
41.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10586
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
23113
27.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
17711
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
1504
119.3 IPS |
|
|
Object Detection (HP)
|
97% |
2368
188.5 IPS |
|
|
Object Detection (Q)
|
94% |
1735
138.3 IPS |
|
|
Face Detection (SP)
|
100% |
3288
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
5502
65.4 IPS |
|
|
Face Detection (Q)
|
100% |
3190
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5692
43.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10487
81.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7316
57.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22105
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35182
45.2 IPS |
|
|
Style Transfer (Q)
|
96% |
28022
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4045
149.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5335
197.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3989
147.3 IPS |
|
|
Text Classification (SP)
|
100% |
2343
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
4104
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4100
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3008
51.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5124
88.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5100
88.1 IPS |
