MacBook Pro (14-inch, 2021)
Geekbench AI Score
3610
Single Precision Score
15713
Half Precision Score
15100
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | computerguru03 |
| Upload Date | March 14 2026 02:27 PM |
| Views | 5 |
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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1335
248.3 IPS |
|
|
Image Classification (HP)
|
100% |
5954
1.11 KIPS |
|
|
Image Classification (Q)
|
96% |
5718
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1512
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9253
150.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9858
159.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10519
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
67977
79.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
63626
74.6 IPS |
|
|
Object Detection (SP)
|
100% |
1513
120.0 IPS |
|
|
Object Detection (HP)
|
99% |
6829
543.2 IPS |
|
|
Object Detection (Q)
|
91% |
6479
517.7 IPS |
|
|
Face Detection (SP)
|
100% |
3273
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
13199
156.8 IPS |
|
|
Face Detection (Q)
|
100% |
11827
140.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5691
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
43576
335.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
45748
357.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22095
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
117465
151.0 IPS |
|
|
Style Transfer (Q)
|
96% |
109918
141.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4085
150.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24015
886.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25571
944.2 IPS |
|
|
Text Classification (SP)
|
100% |
2334
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
4239
5.66 KIPS |
|
|
Text Classification (Q)
|
93% |
4104
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2984
51.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5218
89.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4252
73.5 IPS |
