MacBook Pro (16-inch, 2021)
Geekbench AI Score
3620
Single Precision Score
6011
Half Precision Score
4830
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | korokoroomusubi |
| Upload Date | March 08 2026 10:47 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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% |
1343
249.7 IPS |
|
|
Image Classification (HP)
|
100% |
2052
381.6 IPS |
|
|
Image Classification (Q)
|
96% |
1513
282.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1531
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2258
36.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2604
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10491
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
23002
26.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
17706
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
1496
118.6 IPS |
|
|
Object Detection (HP)
|
97% |
2367
188.5 IPS |
|
|
Object Detection (Q)
|
94% |
1733
138.1 IPS |
|
|
Face Detection (SP)
|
100% |
3289
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
5506
65.4 IPS |
|
|
Face Detection (Q)
|
100% |
3178
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5651
43.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10541
81.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7311
57.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22127
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35228
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
28050
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4105
151.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5576
205.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4028
148.7 IPS |
|
|
Text Classification (SP)
|
100% |
2365
3.16 KIPS |
|
|
Text Classification (HP)
|
99% |
4153
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4222
5.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3005
51.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5159
89.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5164
89.2 IPS |
