MacBook Pro (16-inch, 2021)
Geekbench AI Score
3615
Single Precision Score
15898
Half Precision Score
15702
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | roomac |
| Upload Date | February 27 2026 02:55 PM |
| Views | 5 |
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% |
1330
247.3 IPS |
|
|
Image Classification (HP)
|
100% |
5964
1.11 KIPS |
|
|
Image Classification (Q)
|
96% |
5849
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1519
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9269
150.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9959
161.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10500
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
66502
77.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
62559
73.3 IPS |
|
|
Object Detection (SP)
|
100% |
1516
120.2 IPS |
|
|
Object Detection (HP)
|
99% |
6940
552.0 IPS |
|
|
Object Detection (Q)
|
91% |
6517
520.8 IPS |
|
|
Face Detection (SP)
|
100% |
3282
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
13283
157.8 IPS |
|
|
Face Detection (Q)
|
100% |
12470
148.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5669
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
45047
347.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
45203
353.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22116
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
115420
148.4 IPS |
|
|
Style Transfer (Q)
|
96% |
110438
142.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4085
150.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24536
906.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25556
943.7 IPS |
|
|
Text Classification (SP)
|
100% |
2352
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
4145
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4010
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3001
51.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5758
99.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6015
103.9 IPS |
