MacBook Pro (14-inch, 2021)
Geekbench AI Score
3610
Single Precision Score
15171
Half Precision Score
15635
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | January 17 2026 10:30 PM |
| Views | 3 |
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, 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% |
1304
242.5 IPS |
|
|
Image Classification (HP)
|
100% |
5900
1.10 KIPS |
|
|
Image Classification (Q)
|
96% |
5723
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1512
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9216
149.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9964
161.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10562
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
66205
77.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
62604
73.4 IPS |
|
|
Object Detection (SP)
|
100% |
1503
119.2 IPS |
|
|
Object Detection (HP)
|
99% |
6875
546.9 IPS |
|
|
Object Detection (Q)
|
91% |
6520
521.0 IPS |
|
|
Face Detection (SP)
|
100% |
3271
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
12941
153.8 IPS |
|
|
Face Detection (Q)
|
100% |
12226
145.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5642
43.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
44709
344.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
46727
365.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22153
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
114578
147.3 IPS |
|
|
Style Transfer (Q)
|
96% |
108740
140.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4116
152.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23917
883.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25112
927.3 IPS |
|
|
Text Classification (SP)
|
100% |
2366
3.16 KIPS |
|
|
Text Classification (HP)
|
99% |
4086
5.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4130
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3023
52.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4030
69.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5823
100.6 IPS |
