MacBook Pro (14-inch, 2021)
Geekbench AI Score
3801
Single Precision Score
6255
Half Precision Score
4987
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | volpidash |
| Upload Date | March 17 2026 04:09 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5233c) |
| 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% |
1323
246.1 IPS |
|
|
Image Classification (HP)
|
100% |
2089
388.4 IPS |
|
|
Image Classification (Q)
|
96% |
1521
284.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1508
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2292
37.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2587
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10489
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
22996
26.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
17645
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
1487
118.0 IPS |
|
|
Object Detection (HP)
|
97% |
2336
186.0 IPS |
|
|
Object Detection (Q)
|
94% |
1712
136.4 IPS |
|
|
Face Detection (SP)
|
100% |
3270
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
5463
64.9 IPS |
|
|
Face Detection (Q)
|
100% |
3173
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5628
43.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10482
81.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7267
56.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21893
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35681
45.9 IPS |
|
|
Style Transfer (Q)
|
96% |
28336
36.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4042
149.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5372
198.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3960
146.2 IPS |
|
|
Text Classification (SP)
|
99% |
4165
5.56 KIPS |
|
|
Text Classification (HP)
|
99% |
6357
8.48 KIPS |
|
|
Text Classification (Q)
|
93% |
6090
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2986
51.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5109
88.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5082
87.8 IPS |
