MacBook Pro (16-inch, 2021)
Geekbench AI Score
3642
Single Precision Score
15599
Half Precision Score
15692
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| Upload Date | February 20 2026 12:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,1 |
| Motherboard | MacBookPro18,1 |
| 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% |
1311
243.8 IPS |
|
|
Image Classification (HP)
|
100% |
6234
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5847
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1533
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8660
140.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9955
161.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10552
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
69455
81.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
63531
74.5 IPS |
|
|
Object Detection (SP)
|
100% |
1520
120.5 IPS |
|
|
Object Detection (HP)
|
99% |
7149
568.7 IPS |
|
|
Object Detection (Q)
|
91% |
6553
523.6 IPS |
|
|
Face Detection (SP)
|
100% |
3314
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
13292
157.9 IPS |
|
|
Face Detection (Q)
|
100% |
12349
146.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5722
44.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
45839
353.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
47027
367.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22166
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
116736
150.1 IPS |
|
|
Style Transfer (Q)
|
96% |
108183
139.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4161
153.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24132
891.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25461
940.1 IPS |
|
|
Text Classification (SP)
|
100% |
2426
3.24 KIPS |
|
|
Text Classification (HP)
|
99% |
4248
5.67 KIPS |
|
|
Text Classification (Q)
|
93% |
4052
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3008
51.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4366
75.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5767
99.7 IPS |
