MacBook Pro (14-inch, 2021)
Geekbench AI Score
3598
Single Precision Score
5971
Half Precision Score
4821
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Skyforger |
| Upload Date | March 07 2026 08:33 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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% |
1318
245.2 IPS |
|
|
Image Classification (HP)
|
100% |
2047
380.7 IPS |
|
|
Image Classification (Q)
|
96% |
1510
281.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1515
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2248
36.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2607
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10433
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
22998
26.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
17692
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
1482
117.5 IPS |
|
|
Object Detection (HP)
|
97% |
2332
185.6 IPS |
|
|
Object Detection (Q)
|
94% |
1729
137.8 IPS |
|
|
Face Detection (SP)
|
100% |
3280
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
5482
65.1 IPS |
|
|
Face Detection (Q)
|
100% |
3177
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5668
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10457
80.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7290
57.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22098
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35269
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
28005
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4106
151.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5459
201.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4049
149.5 IPS |
|
|
Text Classification (SP)
|
100% |
2358
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
4144
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4172
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2968
51.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5106
88.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5149
89.0 IPS |
