MacBook Pro (14-inch, 2021)
Geekbench AI Score
3667
Single Precision Score
16425
Half Precision Score
16386
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | jvinkovic |
| Upload Date | August 29 2025 11:00 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
1340
249.2 IPS |
|
|
Image Classification (HP)
|
100% |
6879
1.28 KIPS |
|
|
Image Classification (Q)
|
96% |
6674
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1516
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9686
157.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10447
169.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11107
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70018
81.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
66331
77.7 IPS |
|
|
Object Detection (SP)
|
100% |
1556
123.4 IPS |
|
|
Object Detection (HP)
|
99% |
7968
633.8 IPS |
|
|
Object Detection (Q)
|
91% |
7490
598.5 IPS |
|
|
Face Detection (SP)
|
100% |
3214
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
16095
191.2 IPS |
|
|
Face Detection (Q)
|
100% |
14938
177.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5828
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
51489
396.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
54195
423.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22070
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
120729
155.2 IPS |
|
|
Style Transfer (Q)
|
96% |
115528
149.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4322
159.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25906
956.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27896
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2271
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3998
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3987
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3090
53.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3712
63.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3875
67.0 IPS |
