MacBook Pro (14-inch, 2021)
Geekbench AI Score
3621
Single Precision Score
16107
Half Precision Score
15866
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | dennis_dydx |
| Upload Date | March 08 2026 04:07 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 3.14 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1334
248.0 IPS |
|
|
Image Classification (HP)
|
100% |
6463
1.20 KIPS |
|
|
Image Classification (Q)
|
96% |
6170
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1561
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9366
151.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10053
163.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10499
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
69130
80.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
64596
75.7 IPS |
|
|
Object Detection (SP)
|
100% |
1480
117.4 IPS |
|
|
Object Detection (HP)
|
99% |
7146
568.4 IPS |
|
|
Object Detection (Q)
|
91% |
6747
539.1 IPS |
|
|
Face Detection (SP)
|
100% |
3257
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
13174
156.5 IPS |
|
|
Face Detection (Q)
|
100% |
12366
146.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5698
43.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
44469
342.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
46179
360.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22120
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
115317
148.2 IPS |
|
|
Style Transfer (Q)
|
96% |
110782
143.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4171
154.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24389
900.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25555
943.6 IPS |
|
|
Text Classification (SP)
|
100% |
2333
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
4244
5.66 KIPS |
|
|
Text Classification (Q)
|
93% |
4034
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3002
51.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5623
96.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5737
99.1 IPS |
