MacBook Pro (14-inch, 2021)
Geekbench AI Score
3618
Single Precision Score
15875
Half Precision Score
15225
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | MK6-Aaron |
| Upload Date | January 19 2026 05:48 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
1326
246.5 IPS |
|
|
Image Classification (HP)
|
100% |
6310
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5804
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1540
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9285
150.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9914
160.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10513
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
67374
78.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
62379
73.1 IPS |
|
|
Object Detection (SP)
|
100% |
1502
119.2 IPS |
|
|
Object Detection (HP)
|
99% |
6906
549.4 IPS |
|
|
Object Detection (Q)
|
91% |
6490
518.6 IPS |
|
|
Face Detection (SP)
|
100% |
3286
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
12941
153.8 IPS |
|
|
Face Detection (Q)
|
100% |
12158
144.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5717
44.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
44030
339.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
47252
369.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22235
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
117313
150.8 IPS |
|
|
Style Transfer (Q)
|
96% |
109994
141.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4073
150.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23810
879.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25500
941.6 IPS |
|
|
Text Classification (SP)
|
100% |
2364
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
4272
5.70 KIPS |
|
|
Text Classification (Q)
|
93% |
4183
5.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2966
51.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5485
94.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4264
73.7 IPS |
